405 Econometrics Jobs - Page 15

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client’s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients’ particular business information need(s). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client’s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client’s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What You’ll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com Show more Show less

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world! At Franklin Templeton, everything we do is focused on one thing – delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge. Over 9,500 employees working in 30 countries around the world are dedicated to servicing investment solutions for our clients in more than 155 countries. For more than 75 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team. What is the Data Scientist in FTT Digital Technology group responsible for? As a Data Scientist, you will play a critical role in leveraging data analytics to tackle business challenges and drive insights. Your responsibilities will include working on machine learning models and applying advanced analytics techniques to solve problems and support decision-making. You will be involved in various aspects of the data pipeline, from collection to analysis, and will contribute to the development of data-driven solutions. You’ll work under the guidance of senior team members, gaining hands-on experience and growing your skills in both traditional and innovative data science methodologies What are the ongoing responsibilities of a Data Scientist? Data Collection And Preprocessing Implement data collection strategies to gather relevant data from different sources. Clean, preprocess, and validate data to ensure accuracy and reliability for subsequent analysis. Assist in maintaining and enhancing data pipelines in collaboration with data engineering teams. Statistical Analysis Perform exploratory data analysis to identify trends, patterns, and insights within datasets. Apply basic statistical techniques to test hypotheses, validate assumptions, and draw conclusions from data. Machine Learning And AI Model Development Develop and optimize machine learning models to address business problems and improve processes. Explore and apply Generative AI techniques under the supervision of senior team members to contribute to innovative solutions. Assist in model evaluation, validation, and deployment, monitoring performance and making adjustments as needed. Understanding Human Behavior For AI Applications Analyze data related to human behavior to help develop models that predict and influence outcomes. Work with domain experts to incorporate insights into AI models, enhancing their relevance and accuracy. Data Engineering Collaboration Collaborate with data engineering teams to ensure smooth integration of models into existing data systems. Contribute to designing and implementing scalable data storage solutions. Cross-functional Collaboration Work with product management, marketing, and business stakeholders to understand requirements and provide data-driven insights. Communicate analytical concepts and insights effectively to non-technical stakeholders through reports and visualizations. Continuous Learning And Innovation Stay updated on the latest developments in data science, machine learning, and AI technologies. Experiment with new methodologies and tools to enhance project outcomes and expand your skill set. What ideal qualifications, skills & experience would help someone to be Successful? Master’s or Bachelor’s degree in Statistics, Mathematics, Econometrics, Computer Science, Engineering, or related disciplines 2-4 years of experience in data science, predictive modeling, and machine learning. Proficiency in Python, R, or SQL, with hands-on experience in data analysis and model development. Basic knowledge of Generative AI models and their applications Ability to translate business problems into analytical tasks. Skill in explaining statistical and machine learning techniques to business partners. Experience in creating data-driven stories and insights. Proficiency in handling large datasets, including data cleansing, manipulation, and mining. Capability to tackle ambiguous challenges with a problem-solving mindset. Curiosity and willingness to learn independently. Strong written and verbal communication skills. Effective organizational and planning abilities Ability to work well under pressure and adapt in a dynamic environment. Team-oriented approach with a capacity to work independently when needed. Strong interpersonal skills and the ability to build relationships with colleagues and stakeholders Job Level - Individual Contributor Work Shift Timing - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights Of Our Benefits Include Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response. Show more Show less

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding. About The Role Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data. Actively contribute to taking Data Science at Kredivo to the next level. About You Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries and at least 2 years experience in managing a team. Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements. Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products. Proven track record of delivering high-quality data products in a fast-paced, dynamic environment. Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences. Bonus Points (optional) For Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). Show more Show less

PowerPoint is more than just software - it’s the world’s go-to tool for turning ideas into compelling stories. PowerPoint transforms thoughts into visual stories, enabling millions of users to share knowledge via rich presentations. PowerPoint team is reimagining visual storytelling by harnessing the power of Large Language Models (LLMs) and Agentic AI to create smarter, more dynamic presentation experiences. We are looking for an individual who has expertise in working with Large Language models (LLMs) and has designed scalable systems using LLMs. As a Senior Applied Scientist you will need to design and build systems that allow LLMs to reason over large amounts of data as well as fine tune LLMs and Small Language Models (SLMs). By leveraging the power of generative AI, you’ll help shape the future of PowerPoint by tackling the complex challenges of content, layout and visual storytelling. Your work will enable intelligent features that simplify presentation creation while enhancing creativity. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Research and Development: Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups. Design and develop fundamental technologies and drive the applied research to enable better search experiences for consumers and enterprise alike. Project Management: Drive projects from design through implementation, experimentation, and finally shipping to our users. Own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products. Collaboration: Work in a diverse geographically distributed team environment where collaboration and innovation are valued. Collaborate with stakeholders to define project goals, success criteria, and deliverables. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing, and related fields, and explore new opportunities and challenges for Microsoft Office. Lead the team to continuously improve the recall and precision of bot detection by using new signals and algorithms. Qualifications Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 4+ years of experience with design, implementation, debugging and testing of complex distributed services. Demonstrated experience working with Large Language Models and prompt engineering. Preferred Qualifications Master’s Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent. 5+ years using ML tools like Pytorch, TensorFlow or other frameworks and libraries for developing and deploying generative AI models Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. 3+ years experience developing and deploying live production systems, as part of a product team coding in C++, C#, C, Java or Python. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE ! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated and self-driven Associate Consultant to join our Advanced Analytics & Insights team. In this role, you will be a key contributor, creating and driving impactful analytics solutions that optimize commercial performance for our life sciences clients. You will leverage your strong analytical mindset and skills to deliver actionable insights, solve complex business problems, and apply advanced analytical techniques, including modeling and simulation, to inform key business decisions and drive positive commercial outcomes. You will also have the opportunity to mentor and train junior team members. Key Responsibilities Client Engagement & Needs Assessment: Collaborate closely with clients and internal team to understand client business problems and translate them into specific analytical questions. Develop tailored research plans and analytical approaches to address these needs effectively. Data Analysis & Insight Generation: Apply advanced statistical modeling techniques to analyze data and uncover actionable insights that drive client decision-making. Design and implement custom analyses and models using a variety of tools, including Python, R, Tableau, SAS, Visual Basic, and Excel. Solution Development & Implementation: Design and lead the development of complex analytics solutions, including machine learning and predictive modeling engagements. Ensure seamless implementation of these solutions to achieve client objectives. Communication & Presentation: Effectively communicate analytical findings and recommendations to clients and internal teams through clear and concise presentations and reports. Project Management & Client Relationship Management: Manage project timelines, deliverables, and budgets. Build and maintain strong client relationships, serving as a trusted advisor on analytics matters. Mentorship & Team Leadership: Provide guidance and mentorship to junior team members, fostering a collaborative and supportive team environment. Strategic Initiatives: Contribute to internal strategic initiatives, such as capability development and knowledge sharing. Qualifications Education: Bachelor's or Master's degree in a quantitative field (e.g., Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, Engineering). A strong record of academic success in relevant coursework is required. Experience: 2-4 years of relevant post-collegiate job experience. Technical Skills: Proficiency in statistical software (e.g., SAS, R). Strong programming skills (e.g., Python, Visual Basic). Expertise in data visualization tools (e.g., Tableau, Power BI). Advanced Excel skills. Experience with machine learning and predictive modeling. Personal Skills: Strong analytical and problem-solving skills. Excellent communication skills (written and verbal). Client service orientation. Ability to work effectively in a team environment and be flexible to upskill and grow in a startup. Self-motivated and results-oriented. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge analytics, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: r,data visualization,tableau,machine learning,python,advance excel,sas,data analysis,statistical modeling,visual basic,power bi,excel,predictive modeling Show more Show less

The CRISIL Data Science team supports the S&P Ratings with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients Lead data science product development start to end from PoC to full productization Actively research, explore and identify the latest relevant techniques Identify opportunities for innovation across the Ratings division Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability What We’re Looking For: 4+ years of professional experience in Advanced Analytics / Data Science / Machine Learning Hands on project lifecycle experience, from business requirements gathering to productization 3+years in Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines; 1+ years in Experience working with databases and SQL 1+ years in Experience using Language Models to solve a range of predictive task involving text Ability to quickly acquire new technical skills 3+ years in Experience of working with large data sets and distributed computing Good understanding of mathematical foundations of Machine Learning models Able to translate business problems into problems that can be solved with Data Science 1+ years experience in developing RAG-based models without the aid of any frameworks 1+ years experience in Prompt Engineering Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs STEM/Econometrics / Financial Engineering background Cloud (AWS and Azure) Experience with model visualization and explainability Published atleast 1 journal paper or conference paper or patent Show more Show less

The CRISIL Data Science team supports the S&P Global with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients Lead data science product development start to end from PoC to full productization Actively research, explore and identify the latest relevant techniques Identify opportunities for innovation across the Ratings division Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability What We’re Looking For: 6+ years of professional experience in Advanced Analytics / Data Science / Machine Learning Hands on project lifecycle experience, from business requirements gathering to productization 8+years in Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines; 3+ years in Experience working with databases and SQL 2+ years in Experience using Language Models to solve a range of predictive task involving text Ability to quickly acquire new technical skills 6+ years in Experience of working with large data sets and distributed computing Good understanding of mathematical foundations of Machine Learning models Able to translate business problems into problems that can be solved with Data Science 2+ years experience in developing RAG-based models without the aid of any frameworks 3+ years experience in Prompt Engineering Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs STEM/Econometrics / Financial Engineering background Cloud (AWS and Azure) Experience with model visualization and explainability Published atleast 1 journal paper or conference paper or patent Show more Show less

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZS’s capabilities. Guide and mentor Associates on teams. What You’ll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R). Exposure to tools/platforms (e.g., Hadoop eco system and database systems). Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. High motivation, good work ethic, maturity, and personal initiative. Effective oral and written communication skills. Empathy, adaptability, and emotional intelligence. Strong attention to detail, with a quality-focused mindset. Self-discipline for planning and organizing tasks. Aptitude for, and enjoyment of, working in teams. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com Show more Show less

Job Description Project duration 4-6 weeks with the possibility of extension based on performance At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real- world expertise from across the globe. GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform an AI Tutor in Economics, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain- specific knowledge. Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise. Additional Requirements You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Academic And/or Professional Experience Candidates should have a professional experience in economics with a minimum of 3 years of professional experience in a relevant fields. Specialization in one or more of the following areas Behavioral Economics, Econometrics, Macroeconomics, Microeconomics, Development Economics, International Economics, Labor Economics, Determining the effects of minimum wage laws on unemployment, Environmental Economics, Health Economics, Public Economics. Language proficiency Level of English is advanced (C1) or above. Educational Qualifications A Master’s Degree in economics is required. Bachelor’s degree is accepted if only candidate has 6years of experience in the field. Please note, we're unable to hire from the following locations: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar Switzerland China, Taiwan Kenya Armenia, Israel, Kazakhstan, UAE, Netherlands, Serbia, Kyrgyzstan, Turkey, Uzbekistan, Belarus, Russia, Ukraine, Abkhazia, South Ossetia States of the USA: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, West Virginia Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island, Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe, South Georgia and the South Sandwich Islands, Heard Island and McDonald Islands, British Indian Ocean Territory, Northern Mariana Islands, Martinique, New Caledonia, Norfolk Island, Niue, French Polynesia, Saint Pierre and Miquelon, Pitcairn, Réunion, Saint Helena, Ascension and Tristan da Cunha, Svalbard and Jan Mayen, Sint Maarten (Dutch part), French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, Virgin Islands (British), Wallis and Futuna, Mayotte Show more Show less

About Internal Audit Internal Audit function of the Bank, operates independently under the supervision of the Audit Committee of the Board and is responsible for providing an independent view to the Board of Directors and Senior Management on the quality and efficacy of the internal controls, risk management systems, governance systems and processes in place on an on-going basis. This is provided to primarily ensure that the business and support functions are in compliance with both internal and regulatory guidelines. About the Role The candidate should have master’s degree in Statistics, Econometrics, or a related quantitative field. Proven experience in Risk Modelling/Model validation and proficiency with statistical modeling software (‘R’ & SAS) is desired. Key Responsibilities § Model Risk specialist, in close collaboration with Risk Audit team members will execute audits and other model risk audit related activities to ensure efficient and high quality audit execution for critical models in use at the Bank. § The internal audit role would include the following as part of the day-to-day job: Audit of model development and validation process within the Bank. Updating risk and control matrix and checklist for audits being undertaken. Undertaking detailed walkthrough of the processes being audited and develop data request for the audit Updating of internal audit MIS with the status of audit observations and other actionable emanating to the audit department Assisting in making presentations to senior management and audit committee on the audits undertaken and performance of internal audits Provide necessary support in automating tests used in audit execution for achieving Continuous Control Monitoring (CCM) Qualifications Optimal qualification for success on the job is: § Knowledge of SR 11-7 guidelines and its implementation for the model governance § Experience in development and validation of statistical models in use across banks, primarily for the purpose of Credit underwriting and measurement & management of Credit Risk, Market & ALM Risk, ICAAP & Stress testing etc. § Previous work experience in Risk Analytics or Model Risk team of a bank or Risk advisory team of leading consulting firm with majority of time allocated on developing or validating statistical/econometric models § Proficiency in statistical modeling software ‘R’, Python, SAS & SQL is an added advantage § Excellent written and verbal communication skills Role Proficiencies: For successful execution of the job, a candidate should possess the- Knowledge of relevant Audit Systems Good communication (both verbal & written) and inter-personal skills Strong Excel and database manipulation skills, financial and statistical analysis skills) Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment Ability to prioritize and make decisions in a fast-paced environment Ability to manage multiple tasks/projects and deadlines simultaneously

Vacancy No. S14349 Contract Type Intern Application Deadline 02-Jun-2025 Job Posted on 19-May-2025 Country INDIA Duty Station New Delhi, India Duration 3 Grade Internship, Not Applicable Organizational Context The IFRC is led by its Secretary General, and has its headquarters in Geneva, Switzerland. The headquarters is organized into three main divisions: (i) National Society Development and Operations Coordination; (ii) Global Relations, Humanitarian Diplomacy and Digitalization; and (iii) Management Policy, Strategy and Corporate Services. The IFRC has five regional offices in Africa, Asia Pacific, Middle East and North Africa, Europe, and the Americas. The IFRC also has country cluster delegations and country delegations throughout the world. Together, the Geneva headquarters and the field structure (regional, cluster and country) comprise the IFRC Secretariat. The Global Strategic Planning and Reporting Centre is part of the Strategic Planning Department, which is part of the Office of the Secretary General and aims to bring the IFRC planning process to the next level, with a greater focus on membership-wide planning, monitoring and reporting, high-level objectives and contextual analysis. It also supports the IFRC leadership to develop and foster new proposals and initiatives to promote the IFRC network. The Strategic Planning Department oversees a country-level planning process called ‘Unified Planning’, bringing together ongoing emergency operations and longer-term work, and based on a Federation-wide planning approach. Federation-wide country plans are elaborated at country level in the four IFRC official languages, and with formats suiting the needs of the relevant National Society. Internal Federation-wide reporting on the country plans follows IFRC standard reporting timeframes, i.e. a mid-year report (January to June) and an annual report (January to December). These plans and reports are accessible to the IFRC network only. For donors and the general public, more standard and coherent versions of the plans and reports are produced centrally and contain the needed information to attract funding at country-level. In this connection, the Global Strategic Planning and Reporting Centre (also referred to as the Global Reporting Centre) was established in late 2023, in New Delhi, India to produce the IFRC network country plans and standard narrative reports against the plans. This position is located in New Delhi, India. Job Purpose As part of the Global Strategic Planning and Reporting Centre in New Delhi, the primary purpose of the internship is to support reporting content, data visualization and design work of the IFRC network country plans and reports. The secondary purposes of the internship cover a wide spectrum of regular and ad hoc duties including (and not limited to) production tracking and administrative support. Job Duties and Responsibilities Depending on the personal skills set of the successful candidate, the intern will be required to undertake some or all of the following complementary work: Provide research support in reference to documents produced by the centre, working in close consultation and coordination with the centre’s lead or reporting officers. This includes updating sources and research on the joint situational analysis and thematic analyses in the documents. Support reporting officers in ensuring that plans and reports reflect IFRC network policies, strategies and approaches , including by inserting relevant hyperlinks in documents at finalization phase. Provide copy-editing and proofreading support to the reporting officers. Support extraction and consolidation of data (people reached/implementation indicators and financial data) for the plans and reports, in close coordination with the data and design support officer. Prepare summaries and data visualizations to provide clear data overviews, accurately managing and presenting overlaps in data. Provide design and layout support for plans, reports and other materials produced by the centre, in close coordination and consultation with the centre’s Design Officer. The support includes adjusting the layout and style of plans and reports to meet the standards set by the IFRC. Support tracking of the production processes of the centre, upon guidance provided by the centre’s lead. Undertake a wide spectrum of regular and ad hoc duties including (and not limited to) administrative support, all of which contribute towards the efficient running of the centre. Education University degree/advanced degree in one or more of the following: political science, journalism, communications, sociology, anthropology, and any related humanities degree; graphic design or art school, with a specialization in design and branding; data science, information management, econometrics or statistics Experience Understanding of/experience in drafting and editing plans, reports, articles and related publications A good understanding of data management systems, with knowledge of reading and extracting data including from financial reports for data analysis and visualization Understanding of/experience in graphic design and layout Knowledge, Skills and Languages Preferred technical skills: Demonstrated focus on quality and standards Advanced skills in computer software (Windows, word processing, PowerPoint, spreadsheets) Proficiency/proven experience with data visualization tools, particularly Power BI and Tableau Advanced technical competence in layout software Familiar with the Red Cross and Red Crescent Movement and/or international humanitarian and development work Language skills: Excellent written and oral communication, organizational and presentation skills in English, with other IFRC languages (French, Spanish or Arabic) being an advantage. Flexibility and adaptability: The successful candidate should possess a high level of flexibility and adaptability, as well as a willingness to learn, when carrying out assigned tasks for the Global Strategic Planning and Reporting Centre Modalities for the Internship The intern will report to the IFRC Lead, Global Strategic Planning and Reporting Centre, in close coordination with the Design Officer, Reporting Officers, and Data and Design Support officer. The time period foreseen is 3 months, with potential extension for a further subject to a performance appraisal. The internship will be carried out completely at the IFRC office in New Delhi OR through a mix of presence in the IFRC office in New Delhi and remotely through digital communication means. Competencies, Values and Comments Core competencies: Communications, Collaboration & Teamwork, Judgement & Decision, National Society & Customer Relations, Creativity & Innovation, Building Trust. Values: Respect for Diversity, Integrity, Professionalism, Accountability

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 1+ years of experience in developing LLM solutions for Enterprise Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and Present the findings and communicate with large cross-functional teams

Description Amazon Payment team creates and manages a global portfolio of products, including co-branded credit cards, installment financing, third party redemptions, and financial services marketplaces. Within this team we are looking for a BIE specifically for supporting Japan Payment Products. We are looking for a Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product, business, and marketing decisions and identify new growth opportunities through data-driven insights. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. Key job responsibilities Key job responsibilities Core Responsibilities Includes But Not Restricted To Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions. Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling Evolve organization wide Self-Service platforms Building metrics to analyze key inputs to forecasting systems Leading complex analytical deep dives (Segmentation, A/B testing) Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Basic Qualifications - Bachelor degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field - Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions - 2+ years work experience in analytics field and working with relational Databases - Self-driven, and showcases ability to deliver on fast paced projects using extremely large data sets - Fluency in SQL, and deep understanding of ETL is a must. Preferred Qualifications Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills - Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data - Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight - Experience working with redshift, Cradle or other AWS tools is a plus Hands On experience with Python, R is a plus Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2945838 Show more Show less

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. We are a group of Quantitative analytics experts (Quants) with deep knowledge of financial products, complex datasets, mathematical/econometrics models as well as analytics system engineering. We design, develop and implement client’s facing analytics solution. As a Securities Services - Investment Information Services - Analytics in our Data Solutions group, you will have the opportunity to work with a dynamic team, develop and improve models for performance, investment insight, liquidity, ex-ante and ex-post risk, and more. You will also have the chance to publish industry-leading papers on new investment trends and assist with training of internal users and clients on investment analytics. Job Responsibilities Developing/improving models for performance, investment insight, liquidity, ex-ante and ex-post risk, environmental social governance (ESG analytics), compliance and other post-trade models for the IIS product. There may be some custom deliverables for high-profile and complex clients Developing/improving advanced/intuitive visualization integrating multiple post-trade analytics into client-friendly interface Having familiarity with internal and regulatory guidelines on Model governance. Implementation of remediation; reviewing the process of data feeds from multiple upstream systems Create factsheets with client’s investment analytics datasets through API and also support advanced client and product managers for explanation on data and associated analytical results Publish industry leading papers on newer investment trends such as Environment, Social and Governance (ESG) and methodology to co-integrate them into investment and exposure reporting process Assist with training of internal users and clients on investment analytics Required Qualifications, Capabilities, And Skills PhD, Master’s or B. Tech/B.E degree in a numerate subject from a top academic institution Strong capability in Mathematics, Statistics, Econometrics and Machine Learning Techniques Understanding LLM and applying the same effectively Good exposure to developing on Cloud-based platforms Highly analytical bent of mind, close attention to detail and ability to work to very high standards High level of proficiency Python programming Preferred Qualifications, Capabilities, And Skills Excellent communication skills are required as the candidate will be required to interact extensively with the business development, product development, technology, and control teams High level of proficiency in C++, JavaScript or Python programming Role requires a detailed understanding of new age FinTech and Financial Modelling It is understood that the candidate may not have this knowledge from previous experience, but the successful candidate should be highly motivated to gain this knowledge About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

Job Title : Econometrics Faculty Roles and Responsibilities: The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, making question papers, and any other work of similar nature assigned by the company. Must be comfortable in teaching on youtube. Source Academic information from the standard books of UPSC and current affairs from newspapers and various websites. Create effective tests and study materials for the students. Create Academic content in the form of blogs, articles, and video scripts for the social handles of the company. Doubt solving for students of the company in the form of written format or through phone communication. Skills and Qualifications: Must have given the Mains of the UPSC Exam. Who can teach paper 2 of indian economy Must have Access to digital board. Should be comfortable teaching on youtube. Excellent written and verbal communication skills. Ability to simplify complex ideas and present them clearly and engagingly. Attention to detail and strong editing and proofreading skills. Coordination, Execution and Management skills. Location : Work from Home Language of teaching : English Job Type: Full-time / Part Time Show more Show less

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 5+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 6 – 9 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 6 – 9 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Roles & Responsibilities Eligibility Minimum Qualifications Bachelor’s degree in computer science or a related field OR master’s degree in statistics, economics, business economics, econometrics, or operations research. 6-8 years of experience in the Analytics/Data Science domain. Proficiency in programming languages such as Python. Experience with Generative AI techniques and tools. Familiarity with ETL methods, data imputation, data cleaning, and outlier handling. Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services. Knowledge of databases and associated tools such as SQL. Technical Skills – Desirable Expertise in NLP and Generative AI concepts/methods/techniques like — Prompt design/engineering — Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT-4o — Fine-tuning through LORA/QLORA — Multi-agentic frameworks for RAG — Reranker etc. for enhancing the plain-vanilla RAG — Evaluation frameworks like G-Eval etc. Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP). Exposure to Big Data technologies like Hadoop, Hive, Spark. Experience with advanced reporting tools such as Tableau, Qlikview, or PowerBI. Specific Responsibilities Requirement Gathering: Translate business requirements into actionable analytical plans in collaboration with the team. Ensure alignment of analytical plans with the customer’s strategic objectives. Data Handling: Identify and leverage appropriate data sources to address business problems. Explore, diagnose, and resolve data discrepancies including ETL tasks, missing values, and outliers. Development and Execution: — Individually deliver projects, proof-of-concept (POC) initiatives from inception to completion. — Contribute to the development and refinement of technical and analytics architecture, ensuring it aligns with project and organizational goals. — Implement scalable and robust analytical frameworks and data pipelines to support advanced analytics and machine learning applications. — Coordinating with cross-functional teams to achieve project goals. — Delivery of production-ready models and solutions, meeting quality and performance standards. — Monitor success metrics to ensure high-quality output and make necessary adjustments. — Create and maintain documentation/reports. Innovation and Best Practices: Stay informed about new trends in Generative AI and integrate relevant advancements into our solutions. Implement novel applications of Generative AI algorithms and techniques in Python. Sample Projects GenAI-powered self-serve analytics solution for a global technology giant, that leverages the power of multi-agent framework and Azure OpenAI services to provide actionable insights, recommendations, and answers to tactical questions derived from web analytics data. GenAI bot for querying on textual documents (e.g., retail audit orientation, FAQ documents, research brief document etc.) of multinational dairy company and, and getting personalized responses in a natural and conversational way, based on the structured context of the user (like their personal details), along with the citations, so that one can effortlessly carry out their first-hand validation themselves GenAI bot for querying on tabular dataset (like monthly KPI data) of leading global event agency to understand, process natural language queries on the data and generate appropriate responses in textual, tabular and visual formats. GenAI-powered advanced information retrieval from structured data of a global technology leading organization TimesFM modelling for advanced time series forecasting for a global retail chain Knowledge-Graph-based GenAI solution for knowledge retrieval and semantic summarization for a leading global event agency GenAI-powered shopping assistant solution for big-box warehouse club retail stores GenAI solution using multi-agentic framework for travel-hospitality use case Input Governance and Response Governance in GenAI Solutions Development and implementation of evaluation frameworks for GenAI solutions/applications Training Foundational Models on new data using open-source LLM or SLM Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science, Python (Data Science), GenAI Fundamentals About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Line of Service Internal Firm Services Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in brand management, marketing and sales focus on collaboration to develop and execute strategic sales and marketing initiatives. These individuals focus on driving revenue growth, promoting the Firm's services, enhancing brand visibility, and capturing new business opportunities. They utilise market research, digital marketing, creative campaigns, and effective sales strategies to engage clients, enhance the firm's brand and market presence, and achieve organisational targets. Those in market intelligence at PwC will focus on gathering and analysing data to provide insights on market trends and competitor activities, as well as helping clients make informed business decisions. Your work will involve strong research and analytical skills to deliver valuable market intelligence. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: We are seeking a highly motivated and detail-oriented Senior Associate to join our team. We are seeking an experienced Econometrician and Statistical Analyst to join our team. This role requires a strong background in econometrics, statistics, coding, and expertise in Generative AI-based analysis. The ideal candidate will be responsible for analyzing complex data sets, developing models, and providing insights to support strategic decision-making processes. Responsibilities: Develop and implement advanced econometric models and statistical techniques to analyze data and forecast trends. Conduct detailed analysis and interpretation of data using statistical software and coding languages. Utilize Generative AI tools and techniques to uncover insights and drive business strategy. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Prepare reports, visualizations, and presentations to communicate findings and recommendations effectively. Stay updated with the latest advancements in econometrics, statistics, AI, and machine learning to continually enhance analytical capabilities. Mandatory skill sets: Proven experience as an econometrician or statistical analyst in a professional setting. Proficiency in coding languages such as Python, R, or similar. Extensive experience with statistical software such as SPSS, SAS, or similar. Strong expertise in Generative AI and machine learning techniques. Excellent analytical, problem-solving, and critical-thinking skills. Strong communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred skill sets: Experience with data visualization tools like Power BI or Tableau. Familiarity with financial modeling and market risk evaluation. Background in strategic planning and decision-making processes. Years of experience required: 5+ Years Education qualification: A master's degree or in Statistics, Data Science, or a related field. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Brand Management, Business Analysis, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Dashboards, Communication, Competitor Intelligence, Creativity, Data Modeling, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Intelligence Analysis, Learning Agility, Local Market Trends, Marketing Analysis, Marketing Strategy, Market Insight, Market Intelligence (MI) {+ 9 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? 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Relocation Assistance Offered Within Country Job Number #166101 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience The Global Data Science & Advanced Analytics team in Colgate Palmolive is focused on working on commercial business cases which have a revenue impact for the business with recommended actions and scope for scalability across markets. The role requires working with cross functional teams and leaders across Information Technology (UI/UX Front End, Back end, ML Ops), data architecture, data engineering, division analytics leads and business teams, The Global Data Science & Advanced Analytics team is structured with Analytics Leads, Data Science Leads, Data Scientists and Analytics Engineers to solve business questions, provide actionable insights and drive growth for the organization. The role will lead a team of Data Scientists to develop scalable enterprise solutions from scratch in the areas of Marketing and Media Effectiveness, Marketing Mix Models, Revenue Growth Management, Category Forecasting. The role requires an understanding of Internal & external data sources (Syndicated Market Data, Point of Sales, Nielsen, SAP, Retailer ePOS etc.) and the ability to work with large datasets to derive insights and recommendations. The candidate should have proven ability to write scalable codes in SQL, Python, R to build and deploy statistical models, machine learning models in production using Airflow, conceptualize algorithms to guide the team to achieve the business objectives and goals. Knowledge of working on cloud environments (Google Cloud, Snowflake) is crucial. The candidate should be an analytical problem solver and be proactive and responsive to Business needs Communication is a prime requisite along with storytelling to present complex model insights in simple business language to the stakeholders. Who Are You You are a Data Science Expert and Leader working on solving Business Questions and leading a high performing Data Science and Advanced Analytics team An expert coder to write codes in SQL, Python to build scalable enterprise level data science solutions in Marketing Mix Modelling and Revenue Growth Management and to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics Ability to write codes to build Regression Models, Machine Learning Models [ Ridge, Lasso, Logistic Regression, Bayesian Regression, Random Forests, XGBOOST, Optimization, Simulation ] at scale and then deploy models in production on cloud platforms using Airflow Leading, Mentoring, Coaching data scientists on key technical and domain topics through solution and code reviews to meet business objectives End to end accountability of quality of recommendations, insights and data science solutions developed and deployed in the organization globally You can prioritize multiple work assignments multi-task conflicting priorities and meet deadlines Excellent written and verbal communication. Good facilitation and project management skills You connect the dots - Understands business needs, business questions and identifies the right analytics capabilities to solve them Presentation and Storytelling of model results, insights, recommendation and actions to Marketing and Customer Development (Sales) team and to Division/Global Analytics Leads Communicate complex quantitative insights in a precise, and actionable manner to business stakeholders You are a collaborator - Work with cross functional teams in GIT, Data Architecture, Analytics Engineering to drive the delivery and project management of large scale enterprise wide data science solutions Work collaboratively with the Division Analytics/Global Analytics team and business partners across geographies located in different time zones. You are an innovator - Drive new value from insights by connecting external and internal data sources Bring in enhancements to the existing data science solutions / capabilities by exploring new solutions and techniques Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, exploring new data sources, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need Bachelor degree required [ Master's or MBA preferred ] in data science, computer science engineering, Information Technology, other engineering streams, a related quantitative and technical (Statistics, Business Analytics, Econometrics) 8+ years of data science and analytics experience in developing and deploying machine learning algorithms in a production environment Experience in setting up or managing a data science team is a must [ 2+ years ] Expert knowledge in all the following domains Marketing Mix Modeling, Revenue Growth Management, Optimization Techniques, Forecasting, Recommendation Engines, Marketing Analytics in CPG or Consulting Companies Extraordinary coding skills in SQL, Python, PySpark, R to implement statistical and machine learning algorithms like Linear Regression, Ridge, Lasso, PyMc, Bayesian Methods, GLMNET, Decision Trees, Random Forests, XGBOOST, SVM etc Strong knowledge of MLOPS using docker, airflow, kubernetes, databricks, dataiku on any cloud platform Proficient in Cloud Platforms - Google Cloud, Snowflake and experience dealing with high-volume, high-dimensionality data from varying sources (Cloud Platforms, Nielsen, SAP, Retailer ePOS; both structured and unstructured data) Experience in supporting and working with multi-functional teams in a dynamic environment Proficient in Reporting Insights, making and delivering presentation via Excel, Google Sheets, Google Slides, DOMO and any other Visualization Tools Proven Ability to provide structure and think strategically in complex business context and operate effectively in ambiguity Ability to independently plan and execute deliveries and be comfortable in a client / business facing role Exceptional communication & collaboration skills to understand business partner needs & deliver solutions. What You’ll Need (Preferred) Experience in building web apps using Pydash, Plotly, R Shiny, Streamlit Experience in Deep Learning, Reinforcement Learning, Image Recognition, AI algorithms, GenAI Experience with Databricks, Docker, Azure Data Factory Experience with machine learning API on cloud services: Azure, AWS, Vertex AI Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 6 – 9 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

JOB DESCRIPTION Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. We are a group of Quantitative analytics experts (Quants) with deep knowledge of financial products, complex datasets, mathematical/econometrics models as well as analytics system engineering. We design, develop and implement client’s facing analytics solution. As a Securities Services - Investment Information Services - Analytics in our Data Solutions group, you will have the opportunity to work with a dynamic team, develop and improve models for performance, investment insight, liquidity, ex-ante and ex-post risk, and more. You will also have the chance to publish industry-leading papers on new investment trends and assist with training of internal users and clients on investment analytics. Job responsibilities Developing/improving models for performance, investment insight, liquidity, ex-ante and ex-post risk, environmental social governance (ESG analytics), compliance and other post-trade models for the IIS product. There may be some custom deliverables for high-profile and complex clients Developing/improving advanced/intuitive visualization integrating multiple post-trade analytics into client-friendly interface Having familiarity with internal and regulatory guidelines on Model governance. Implementation of remediation; reviewing the process of data feeds from multiple upstream systems Create factsheets with client’s investment analytics datasets through API and also support advanced client and product managers for explanation on data and associated analytical results Publish industry leading papers on newer investment trends such as Environment, Social and Governance (ESG) and methodology to co-integrate them into investment and exposure reporting process Assist with training of internal users and clients on investment analytics Required qualifications, capabilities, and skills PhD, Master’s or B. Tech/B.E degree in a numerate subject from a top academic institution Strong capability in Mathematics, Statistics, Econometrics and Machine Learning Techniques Understanding LLM and applying the same effectively Good exposure to developing on Cloud-based platforms Highly analytical bent of mind, close attention to detail and ability to work to very high standards High level of proficiency Python programming Preferred qualifications, capabilities, and skills Excellent communication skills are required as the candidate will be required to interact extensively with the business development, product development, technology, and control teams High level of proficiency in C++, JavaScript or Python programming Role requires a detailed understanding of new age FinTech and Financial Modelling It is understood that the candidate may not have this knowledge from previous experience, but the successful candidate should be highly motivated to gain this knowledge ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. We are a group of Quantitative analytics experts (Quants) with deep knowledge of financial products, complex datasets, mathematical/econometrics models as well as analytics system engineering. We design, develop and implement client’s facing analytics solution. As a Securities Services - Investment Information Services - Analytics in our Data Solutions group, you will have the opportunity to work with a dynamic team, develop and improve models for performance, investment insight, liquidity, ex-ante and ex-post risk, and more. You will also have the chance to publish industry-leading papers on new investment trends and assist with training of internal users and clients on investment analytics. Job responsibilities Developing/improving models for performance, investment insight, liquidity, ex-ante and ex-post risk, environmental social governance (ESG analytics), compliance and other post-trade models for the IIS product. There may be some custom deliverables for high-profile and complex clients Developing/improving advanced/intuitive visualization integrating multiple post-trade analytics into client-friendly interface Having familiarity with internal and regulatory guidelines on Model governance. Implementation of remediation; reviewing the process of data feeds from multiple upstream systems Create factsheets with client’s investment analytics datasets through API and also support advanced client and product managers for explanation on data and associated analytical results Publish industry leading papers on newer investment trends such as Environment, Social and Governance (ESG) and methodology to co-integrate them into investment and exposure reporting process Assist with training of internal users and clients on investment analytics Required qualifications, capabilities, and skills PhD, Master’s or B. Tech/B.E degree in a numerate subject from a top academic institution Strong capability in Mathematics, Statistics, Econometrics and Machine Learning Techniques Understanding LLM and applying the same effectively Good exposure to developing on Cloud-based platforms Highly analytical bent of mind, close attention to detail and ability to work to very high standards High level of proficiency Python programming Preferred qualifications, capabilities, and skills Excellent communication skills are required as the candidate will be required to interact extensively with the business development, product development, technology, and control teams High level of proficiency in C++, JavaScript or Python programming Role requires a detailed understanding of new age FinTech and Financial Modelling It is understood that the candidate may not have this knowledge from previous experience, but the successful candidate should be highly motivated to gain this knowledge

Senior Applied Scientist Noida, Uttar Pradesh, India Date posted May 16, 2025 Job number 1820087 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview PowerPoint is more than just software - it’s the world’s go-to tool for turning ideas into compelling stories. PowerPoint transforms thoughts into visual stories, enabling millions of users to share knowledge via rich presentations. PowerPoint team is reimagining visual storytelling by harnessing the power of Large Language Models (LLMs) and Agentic AI to create smarter, more dynamic presentation experiences. We are looking for an individual who has expertise in working with Large Language models (LLMs) and has designed scalable systems using LLMs. As a Senior Applied Scientist you will need to design and build systems that allow LLMs to reason over large amounts of data as well as fine tune LLMs and Small Language Models (SLMs). By leveraging the power of generative AI, you’ll help shape the future of PowerPoint by tackling the complex challenges of content, layout and visual storytelling. Your work will enable intelligent features that simplify presentation creation while enhancing creativity. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 4+ years of experience with design, implementation, debugging and testing of complex distributed services. Demonstrated experience working with Large Language Models and prompt engineering. Preferred Qualifications: Master’s Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent. 5+ years using ML tools like Pytorch, TensorFlow or other frameworks and libraries for developing and deploying generative AI models Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. 3+ years experience developing and deploying live production systems, as part of a product team coding in C++, C#, C, Java or Python. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Responsibilities Research and Development: Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups. Design and develop fundamental technologies and drive the applied research to enable better search experiences for consumers and enterprise alike. Project Management: Drive projects from design through implementation, experimentation, and finally shipping to our users. Own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products. Collaboration : Work in a diverse geographically distributed team environment where collaboration and innovation are valued. Collaborate with stakeholders to define project goals, success criteria, and deliverables. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing, and related fields, and explore new opportunities and challenges for Microsoft Office. Lead the team to continuously improve the recall and precision of bot detection by using new signals and algorithms. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.