401 Econometrics Jobs - Page 6

About Us At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers. About The Role The Associate Manager role is critical to making this happen and will provide an opportunity to independently validate a diverse suite of credit risk models including Capital, Decisions, ECL (Expected Credit Loss) and Stress Testing, to derive meaningful insights. This role caters to the end-to-end assessment of in-use, new and tactically remediated models. It may also involve establishing effective processes to enhance validation activities. Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours. Role Location: Manyata Tech Park, Bengaluru Role Type: Permanent, Full Time What will you bring? To grow and be successful in this role, you will ideally bring the following: Advanced statistical software skills, including SAS, R, Python, SQL. Experience in Capital/Decisions/ECL/IFRS 9 models across retail and/or wholesale portfolios. Experience in validating/building credit risk models (e.g., capital models) across retail and/or wholesale. Knowledge of Basel regulatory framework, capital measurement techniques (incl. PD, LGD, EAD models) and IFRS 9. Excellent written and verbal communication. Problem solving skills and attention to detail. Post graduate qualifications in statistics, econometrics or mathematics. Experience in AI/ML techniques would be an added advantage. You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you. So why join us? From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive. But it's not just our customers who'll feel your impact. you'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career. We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more. At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support. To find out more about working at ANZ, visit https://www.anz.com.au/careers . You can apply for this role by visiting ANZ Careers and searching for reference number 96503. Job Posting End Date 30/05/2025 , 11.59pm, (Melbourne Australia) Show more Show less

Who We Are Euromonitor International is the leading independent market research company; investigating and understanding what consumers want and need, helping businesses create products and services that cater to their preferences and trends. We are an organisation that champions flexibility, with opportunity to grow and be supported with continuous learning and development. What You Will Be Doing The successful candidate will use and explore various innovative economic, econometric, and statistical modelling tools that best help us address our clients' strategic objectives. A typical modelling and analytics project starts with the identification and conceptualization of our clients' needs and objectives. This is then followed by an evaluation of all possible solutions by their feasibility given available data and the client's objectives. The final stage often involves the identification of the most optimal economic or econometric solution. As the data analyst gains experience in building client solutions, we will look to involve him/her in project opportunity screening and proposal build, developing modelling updates as well as driving client presentations and/or meetings. Key drivers - Research and analyze economic, demographic and industrial data from around the world. Use econometric modelling techniques as well as analytical judgment to come up with custom solutions for our clients. Participation in internal peer review meetings and contribution to the best solution search process as well as giving comments on already created preliminary solutions. Presentation and visualization of model results to a client in an intuitive manner Draw conclusions based on the analysis of our results. Monitoring academic press for latest developments in economics and statistics to make sure we use cutting edge analytical techniques. Proper documentation of each project and sharing best modelling practices Commission and organize research, standardization and modelling by freelance associates in Lithuania and around the world. Liaise with sales and marketing department to evaluate client inquiries. What You'll Need- Excellent communication skills and English fluency (both oral and writing) Understanding and interest in international economic, demographic and industry trends A good working knowledge of R is Mandatory Experience in SQL, SPARQL, JavaScript, HTML or similar would be an advantage. Excellent analytics skills Excellent organizational skills and creativity The confidence and ability to take the post forward with the minimum of supervision. A strong knowledge in mathematics /statistics/ econometrics A genuine interest in Artificial Intelligence and related fields like data science and Machine learning would be an advantage. knowledge in economics would be an advantage. M.A/MSc. degree in economics, statistics, econometrics, mathematics, physics, operation research or similar field. Highly skilled candidates with a BA/BSc. will also be considered. Candidates with B.tech/Mtech or MBA will not be considered What you'll get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more....!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity Show more Show less

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors 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. About the Role: You will be part of the FCSD analytics team, playing a critical role in leveraging data science to drive significant business impact within Ford Customer Service Division. As a Data Scientist, you will translate complex business challenges into data-driven solutions. This involves partnering closely with stakeholders to understand problems, working with diverse data sources (including within GCP), developing and deploying scalable AI/ML models, and communicating actionable insights that deliver measurable results for Ford. Responsibilities Job Responsibilities: Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen. Extract, analyze, and transform data using SQL for insights. Apply statistical methods and develop ML models to solve business problems. Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments. Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment. Integrate and operationalize ML models for real-world impact. Monitor the performance and impact of deployed models, iterating as needed. Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions. Qualifications Qualifications: At least 3 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python. Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics). Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc.). Technical Skills: Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis. Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc.). Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models. Experience with version control systems, particularly Git. Nice to have: Exposure to Generative AI / Large Language Models (LLMs). Functional Skills: Proven ability to understand and formulate business problem statements. Ability to translate Business Problem statements into data science problems. Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions. Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences. Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making. Show more Show less

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors 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. About the Role: You would be part of FCSD analytics team. As a Data Scientist on the team, you will collaborate within the team and work with business partners to understand business problems and explore data from various sources in GCP-Data Factory, wrangle them to develop solutions using AI/ML algorithms to provide actionable insights that deliver key results to Ford. The potential candidate should have hands-on experience in building statistical/machine learning models adhering to the best practices of development and deployment in cloud environment. This role requires a solid problem-solving skill, business acumen, and passion for leveraging data science/AI skills to drive business results. Responsibilities Job Responsibilities Build an in-depth understanding of the business domain and data sources. Extract, Analyse data from database/data warehouse to gain insights, discover trends and patterns with clear objectives in mind. Design and implement scalable analytical solutions in Google cloud environment. Work closely with Product Owner, Product Manager, Software engineers and Data engineers to build products in agile environment. Operationalize AI/ML/LLM models by integrating with upstream and downstream business processes. Communicate results to business teams through effective presentations. Work with business partners through problem formulation, data management, solutions development, operationalization, and solutions management Identify opportunities to build analytical solutions driving business value, leveraging various data sources. Qualifications Qualifications: At least 2 years of relevant work experience in solving business problems using data science Bachelors/master’s degree in quantitative domain, Statistics, Computer science, Mathematics, Engineering with MBA from a premier institute (BE,MS,MBA, BSc/MSc -Computer science/Statistics) or any other equivalent 2+ years of experience with SQL, Python delivering analytical solutions in production environment. At least 1 year of experience working in Cloud environment (GCP or AWS or Azure) 2+ years of experience in conducting statistical data analysis (EDA, forecasting, clustering, etc.,) and machine learning techniques (Classification/Regression, NLP) Technical Skills: Proficient in BigQuery/SQL, Python Advanced SQL knowledge to handle large data, optimize queries. Working knowledge in GCP environment (Big Query, Vertex AI) to develop and deploy machine Learning models Nice to have: Exposure to Gen AI/LLM Functional Skills: Understanding and formulating business problem statements Convert Business Problem statement into data science problems. Self-motivated with excellent verbal and written skills Highly credible in organizational, time management and decision making. Excellent Problem-Solving and Interpersonal skills Show more Show less

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors 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 candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Show more Show less

About Tiger Analytics Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. About the role The position of Quantitative Technical Advisor will be designing and validating mathematical models used by the bank and conducting mathematical analysis of the data in the Market Risk and Counterparty Credit Risk division. Analyzing and building sector / industry risk assessment mathematical methodologies and quantitative measurement techniques for assessment of the credit risk exposures and evaluation of the structured products. Roles & Responsibilities: Monitor and validate aggregate model risk in alignment with bank’s risk strategy You will lead a team of Model validators, who use their predictive and AI Modeling knowledge to review and validate a wide variety of the models Manage a growing Model Validation team responsible for independent first line validation of predictive and generative AI models Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings Assist with the validation and review of models regarding their theoretical soundness, testing design, and points of weakness Interpret data to recognize any potential risk exposure Development of challenger models that help validate existing models and assist with outcome analysis Ensure compliance with the model risk monitoring framework Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards Exposure to CCAR/CECL/IRB Models are preferred. Evaluate the Bank’s compliance with SR 11-7 regulatory guidance" Qualification: Education: Graduate/Master degree in computer science, statistics, econometrics, mathematics, computational finance, or similar Deep knowledge in Quantitative methods / econometrics/ statistics. Strong in Regression analysis, Time series Analysis, optimization. Knowledge of Risk Models and Optimization algorithms. Good working knowledge of SAS, Python and SQL, Machine learning, exploratory data analysis Show more Show less

About this role BlackRock is one of the world s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares ETFs. About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview: We are looking to hire a quantitative modeler (Associate) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 3-6 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline - master s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills

Applications are invited for the Post of Research Assistant for the Research Committee of Institute of Chartered Accountants of India (ICAI) to the VIT Business School (VITBS) Vellore Institute of Technology (VIT), Vellore, T.N, India. Title of the Project : “ Tax-to-GDP Ratio and Sustainable Growth: An Empirical Analysis of India's Economic Development ”. Number of posts : 01 Qualification : Ph.D in Finance (completed or submitted thesis) / MBA in Finance/ Financial Economics from a recognized university or equivalent. Desirable (if any) : Candidates have hands on experience on analysis of secondary data using Python/Machine Learning/E-Views/ Amos and very good in research paper publications. Stipend : Rs. 25,000/- per month Sponsoring Agency : Research Committee, The Institute of Chartered Accountants of India (ICAI), New Delhi. Duration : 3 Months Principal Investigator : Dr. Rajesh Mamilla Professor Grade-1, VITBS, VIT-Vellore. Send your resume along with relevant documents pertaining to the details of qualifications, research publications, experience (if any) and latest passport size photo etc. on or before (23/06/2025) through online http://careers.vit.ac.in No TA and DA will be paid for appearing the interview. Shortlisted candidates will be called for an interview at a later date which will be intimated by email. The selected candidate will be expected to join at the earliest.

Associate / Sr. Associate - Customer Success Who are we looking for? Associate Customer Success drives value for clients by optimizing/managing business processes, synthesizing data at regular intervals, maintaining high-quality standards, applying automation leveraging cutting-edge technology, performing analyses, updating business rules, presenting results to the clients, and answering queries on deliverables. and generating focused insights. Openings: 5 Experience: Min. 2-4 Years of work experience Requirements: • Candidates having exposure to the Cybersecurity industry will be preferred not mandatory. • Past experience in working with Advanced Excel and in making powerful presentations will be a plus. • We welcome candidates with a range of degrees and backgrounds, though sustained success with a significant volume of analytic and quantitative coursework is required. • Any bachelor's or master's degree in engineering, Operations Management/Research, MIS, Management Science, Applied Mathematics, Statistics or Econometrics will be entertained. Roles: 1. Developing and managing client portfolios. 2. Analyzing customer data to improve customer experience. 3. Hold product demonstrations for customers & improve onboarding processes. 4. Mediate between clients and the organization to achieve end goals. 5. Handling and resolving customer requests and complaints. 6. Minimize customer churn to increase customer retention. What You can expect from us: • Competitive salary • Technical coaching to ensure continuous professional growth • Awards & recognition for your hard work Show more Show less

Senior Applied Scientist Bangalore, Karnataka, India Date posted Jun 12, 2025 Job number 1828301 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview The Microsoft Word Writing Assistance and Language Intelligence team located in Redmond, Washington build large scale natural language understanding and natural language generation models using cutting edge Natural Language Processing technologies and advanced linguistic knowledge. The team has a 25-year track record of delivering innovative AI-powered writing assistance solutions to millions of users worldwide with a vision of bringing out the best writer in everyone. The team have recently launched a set of groundbreaking Copilot features that help users to dramatically enhance productivity and creativity throughout their writing journey from start to finish. As a Senior Applied Scientist in the team, you will drive intelligence experience projects through their entire life cycle from idea creation through rigorous science experiments, evaluations, and finally to worldwide availability. You will collaborate with other applied scientists, researchers, engineers, and product managers to deliver high-quality features and products that enhance the writing experience across multiple platforms and domains. You will also conduct cutting-edge applied research leading to high product impact and publish your work in top-tier conferences and journals. This opportunity will allow you to accelerate your career growth, develop deep business acumen, and hone your scientific skills. You will have the flexibility to work from home partially or fully, depending on your preference and location. We value work-life balance and support our team members to achieve their personal and professional goals. 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 5+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of research or product experience in NLP. 3+ years of hands-on experience in Deep Learning using PyTorch or similar. 3+ years of software engineering experience in Python or C#. Effective communication, collaboration, and problem-solving skills and a customer-centric mindset. Preferred Qualifications: PhD degree in Computational Linguistics or Computer Science with a focus on NLP. Fluency with recent NLP & LLM advancement as well as a driven passion for discovering the next generation of technology. Experience conducting applied research and publishing papers. Experience working in collaborative multiple team environment and ship production features in a fast-paced environment. Responsibilities The mission of the team is to advance intelligent reading and writing assistance in M365 and to make fundamental contributions to advancing the state-of-the-art in language technology within Microsoft and in industry. As a senioar applied scientist, your responsibilities include: You will review business and product requirements and incorporate state-of-the-art research to formulate plans that will meet business goals. You will research and develop an understanding of tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency. You will stay updated with the latest research and trends in NLP and related fields and explore new ideas and opportunities for innovation. You will participate in onboarding of junior team members. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection. 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.

Associate, Product Operations,NPS Prism Title: Associate, Product Operations Company Profile: NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS®, and on every step of the customer journey. Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. While NPS Prism is its own company, NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world’s best places to work. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive professionally and personally. Position Summary: NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years and is making the leap from being a consulting-led business to a technology-led business. Given that shift, we are looking to build our team with world-class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future. Key Responsibilities: Independently owns the workstreams assigned to the individual and develops client ready visualization dashboards using tools like Tableau with minimum guidance Works with multiple stakeholders, across instruments and workstreams to provide expertise in data management Provides structured support to junior team members, including helping them understand tools, logic flows, and standard work practices Builds reusable capabilities and templates that improve team efficiency and scalability, ensuring that they are well documented and across service lines Analyze the data using tools like SQL, Alteryx, and Databricks Design and execute new benchmarking survey instruments, including assessing data needs and designing the primary research surveys and sample specification Respond to onshore team/client questions around the data and insights Translates complex technical concepts such as screener logics, dashboard workflows, and research methodologies into clear explanations for internal teams and client facing discussions Provide ongoing support for subscription customers, such as additional data cuts and responding to questions about the data/methodology with precision and speed Support commercialization efforts, including conducting data-driven analysis for proposals, building custom outputs, and conducting product demos with prospective clients Required Qualifications, Experience & Skills: Education: Required: Graduate/post graduate from top-tier institute or have pursued a statistical/analytical course from a tier 1 university Preferred: Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research Experience 2+ years of experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in managing end-to-end customer surveys, data analysis and visualizations Technical Skills Extensive hands-on experience with Tableau, with strong command of dashboard design, interactivity, and performance optimization Proven experience using Alteryx for data prep, transformation, and validation at scale Proficient in applying statistical and data mining techniques to derive meaningful insights from customer feedback and survey data Comfort with SQL and Python (preferred), especially for data manipulation, automation, or analytics tasks Other Skills: Proactive problem-solver with a strong sense of ownership and attention to detail Experience mentoring junior team members and contributing to collaborative team culture Excellent interpersonal, written, and verbal communication skills Comfort working in a hybrid or remote environment with distributed teams Demonstrates resilience and adaptability in navigating change and feedback Consistently seeks feedback and iterates to improve performance and team outcomes Powered by JazzHR e13WpNNOGf Show more Show less

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Position Description The purpose of this role is to serve as a trusted partner with Business Unit Medical Affairs and Internal Global Medical Affairs Organization (GMAO) teams to lead creation of high-quality data reporting and visualization support that can drive better customer experience and business impact. This role will champion our self-service reporting strategy and would play a key role in helping us automate and create scalable frameworks for our reporting and analytics. We are looking for a hands-on person who can help expand our analytics & reporting capabilities and drive business-critical initiatives. Key Objectives/Deliverables Know Lilly TA business and our internal business partners. Build and exhibit deep expertise on available data sets and supports data enabled decision making by developing data lakes, insights, reporting & visualization Execute and monitor operations tasks to ensure timely availability of data in a reporting / dashboard structure to the business. Perform thorough data validations to ensure data quality Respond to queries from internal stakeholders Consistently meet operations SLAs Perform incident resolution and root cause analysis to support data and reporting operations Consistent delivery of high quality, timely and insightful reports to enable stakeholders and senior leadership to take key decisions Develop and publish regularly, different execution dashboard as per the business roadmap & requirements Descriptive analytics and visualization to provide data-based insights on planning, execution and outcomes Demonstrate deep understanding of information and material flows, processes, procedures, systems, and methods Demonstrate understanding of internal business partners’ people, processes, and technology Partner and collaborate with other site-level teams to identify synergies and implementation of best practices Technical Skills Expertise in writing and debugging efficient SQL queries. Strong experience in data visualization tools - Power BI or Tableau (Power BI preferred) – Should be able to independently design and develop dashboards as per business requirement. Advanced MS-office skills (MS-Excel and MS-PowerPoint) Coding: SQL mandatory and one of R, Python would be good to have Analytical Skills Experience in business analytics Data cleaning and preparation skill (database querying, descriptive statistics) Problem solving skills and lateral thinking ability and an eye for detail Educational Requirements Bachelor’s or Master’s degree in sciences or quantitative discipline i.e. Finance, Econometrics, Statistics, Engineering or Computer Sciences Additional Preferences At least 7-9 years of evolving experience in data management, pharma market intelligence, performance reporting/visualization and/or descriptive analytics for leadership, with demonstrated results in understanding, structuring, and making sense of unfamiliar and messy datasets Experience with project management software (e.g., Wrike, JIRA, Adobe Workfront) and proficiency in a variety of PC applications and multifunctional diagramming tools including Microsoft Project, Visio, Lucid Chart etc. Strong work ethic and personal motivation Interpersonal and communication skills with ability to work across time zones. Strong stakeholder management skills Ability to operate effectively in an international matrix environment. Strong team player who is dynamic and result oriented Proven planning and organizational skills Proven ability to manage multiple projects at a time with flexibility to adjust quickly and effectively to frequent change and altered priorities Product Launch experience Demonstrated enthusiasm and the ability to work under pressure to meet deadlines Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly Show more Show less

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 bachelors (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

About this role About this role BlackRock is one of the world s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares ETFs. About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview: We are looking to hire a quantitative modeler (Analyst) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 1-3 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline - master s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills #EarlyCareers Our benefits . Our hybrid work model . About BlackRock . This mission would not be possible without our smartest investment - the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com / company / blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

: The ideal candidate would be adept at understanding customers business challenges and define appropriate analytics approach to design solution Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions This is a hands-on role, will be required to manage day to day delivery activities in executing analytics projects by analysing large volume of data Should have familiarity on solutions in core functional areas related to Promotion Effectiveness, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc. Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development This role requires excellent communication skills .Must Have: Hands on experience in exploratory data analysis, A/B testing, Campaign Measurement and model building (end to end), customer Analytics, Loyalty and Promotions1-2 years in hospitality industry Tools: Databricks, Python, SQL, Experience on AWS platforms/Azure Excellent communication skills, both oral and written.Functional/Domain Experience:Good exposure to hospitality industry and their datasets Relevant Experience: 5+years of hands-on experience in Data Science Qualifications Educational Criteria:Masters in Statistics / Mathematics / Economics / Econometrics from Tier 1 institutions OrMBA from Tier 1 institutions - Preferred

What you will do You will be accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups This position reports to the Executive Director, Technology & Workforce Transformation and will be responsible for the following Responsibilities Key IntegratorAct as main point of contact and representative of the Tech and Workforce Transformation team in India Talent DevelopmentHire, train, develop, and manage talent to meet organizational needs Global CollaborationAct as the primary point of contact for GCC senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs OptimizationOversee analysis efforts to optimize workforce and resource allocation, driving efficiency across the business Operational Excellence and DeliveryOversee end-to-end delivery of core sales & marketing operations projects ensuring quality, scalability, and operational efficiency Offshore Vendor ManagementManage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation LeadershipFoster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in automation and AI Continuous ImprovementLead identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. Automation lead the piloting, planning, and implementation of automation across the GCC portfolio of capabilities Business Impact & Collaborator ManagementEnsure capability solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial managementOversee GCC budget associated with offshore work in India, ensuring best negotiated rates and overall value What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Masters degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelors degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Preferred Qualifications: Relevant sales, marketing, operations, and Bio/Pharmaceutical industry experience Innovative customer capability leadership experience Minimum 5 years of professional experience in operational effectiveness with consistent record of automation development and capability efficiencies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an automation and innovation forward culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT, cross functional business leaders

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. 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

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

Job description About this role About this role BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview: We are looking to hire a quantitative modeler (Analyst) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 1-3 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline – master’s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills #EarlyCareers Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Job Requisition # R246260

Positions Available: Faculty Teachers (BBA, B.Com, MBA, M.Com) Lucknow's Techno Group of Institutions We are seeking dynamic and experienced faculty members to join our team across various management and commerce programs. The ideal candidates will be passionate about teaching, research, and student mentorship, contributing to a vibrant academic environment. General Responsibilities (Applicable to all Faculty Positions): Deliver high-quality lectures, seminars, and practical sessions for assigned courses in BBA, B.Com, MBA, and M.Com programs. Develop and update course materials, lesson plans, and teaching methodologies in line with industry standards and university curriculum (AKTU/Lucknow University norms). Conduct continuous assessment of students, including examinations, assignments, and projects, and provide constructive feedback. Actively participate in departmental and institutional activities, including curriculum development, academic planning, committees, and accreditation processes. Engage in research, publish papers in reputable journals, and present at national/international conferences. Mentor and guide students on their academic and career paths, fostering their overall development. Maintain a professional and engaging classroom environment, promoting interactive learning. Specific Responsibilities (for MBA & M.Com Specializations):MBA - Human Resources (HR) Specialization: Teach core and elective subjects related to Human Resource Management, including but not limited to: Human Resource Planning Talent Acquisition & Management Performance Management & Compensation Industrial Relations & Labor Laws Organizational Behavior & Development HR Analytics Guide students on HR-related projects, case studies, and internships. Stay updated with the latest trends and best practices in the HR domain. MBA - Marketing Specialization: Teach core and elective subjects related to Marketing Management, including but not limited to: Marketing Strategy & Management Consumer Behavior Digital Marketing Brand Management Sales & Distribution Management Marketing Research & Analytics Guide students on marketing projects, campaigns, and industry-specific assignments. Keep abreast of evolving marketing technologies and strategies. MBA/M.Com - Statistics & Quantitative Techniques Specialization: Teach core and elective subjects related to Statistics and Quantitative Techniques, including but not limited to: Business Statistics Operations Research Business Analytics Decision Sciences Econometrics (for M.Com where applicable) Research Methodology Guide students in applying statistical and quantitative tools for business problem-solving. Stay updated with advancements in analytical techniques and software. MBA/M.Com - Finance & Accounts Specialization: Teach core and elective subjects related to Finance and Accounts, including but not limited to: Financial Accounting Managerial Accounting Financial Management Investment Banking & Financial Markets Corporate Finance Derivatives & Risk Management Taxation (for M.Com where applicable) Guide students on financial modeling, investment analysis, and accounting practices. Keep abreast of changes in financial regulations and market trends. Qualifications & Experience: For MBA & M.Com Programs: A Ph.D. in the relevant discipline (Management, Commerce, HR, Marketing, Finance, Accounts, Statistics, Quantitative Techniques) is highly preferred. Master's Degree (MBA/M.Com) with a minimum of 55% marks from a recognized university. UGC NET/JRF qualification is desirable. Minimum 4 years and maximum 10 years of teaching/industry experience at the postgraduate level. For BBA & B.Com Programs: Master's Degree (MBA/M.Com) with a minimum of 55% marks from a recognized university. UGC NET/JRF qualification is desirable. Minimum 4 years and maximum 10 years of teaching/industry experience. Proven record of research publications (for senior positions). Required Skills: Excellent communication and presentation skills (both written and verbal). Strong interpersonal and mentorship abilities. Proficiency in modern teaching methodologies and tools. Ability to work collaboratively in a team environment. Dedication to academic excellence and student success. Strong analytical and problem-solving skills. Job Type: Full-time Pay: ₹25,000.00 - ₹75,000.00 per month Schedule: Day shift Experience: Teaching: 5 years (Required) Work Location: In person

St. Xavier's College is looking for Assistant Professor in Economics to join our dynamic team and embark on a rewarding career journey Teach a range of courses in the department, at both the undergraduate and graduate levelsConduct original research in the field and publish findings in academic journals and at conferencesAdvise students and mentor junior faculty membersParticipate in department and university-wide committees, such as curriculum committees and search committeesPursue external funding opportunities to support research and teaching activitiesEngage in professional development activities to stay current in the field and enhance teaching skillsRequirements:A record of successful teaching and research, with a strong publication record in academic journalsAbility to teach a range of courses in the department, at both the undergraduate and graduate levelsStrong communication and interpersonal skills, with the ability to mentor students and junior faculty membersA commitment to continued professional development and growth M.Com. (Accounting & Finance) with minimum 55% marks, NET or SET or Ph.D (under Regulation 2009) qualified. (Competence in co-curricular activities may be preferred). Qualifying age limit is 37 (Thirty Seven) as on 01.01.2025 relaxabl

Designation: Current Affairs Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Candidates with Economics Background will be preferred. 2. Proficiency in instructional design and delivery methods(content delivery). *Must have Access to digital smartboard* Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

About The Company At Teikametrics, already the leading Marketplace Optimization Platform, we’re building an operating system to optimize every aspect of a retailer's business - from advertising to inventory to pricing. We optimize billions of transactions for thousands of entrepreneurs and brands around the world selling on demand-marketplaces like Amazon, Walmart, and others, with future plans of extending to less traditional marketplaces like FB and Google. The Teikametrics Marketplace Optimization Platform uses proprietary econometrics and machine-learning data models packaged in a simple SaaS interface. We combine our best-in-class technology with coaching and support from our world-class teams based in Boston, MA, Seattle, WA, Bengaluru, India, Tel Aviv, Israel, and Hong Kong, China. We are looking for team members who are values-aligned, make an impact on our mission and thrive in our fast-growing organization. About The Role Teikametrics software engineers develop products that optimize billions of transactions for entrepreneurs and brands around the world. Our mission is to unlock growth for our customers on the most valuable marketplaces. As a Senior Software Engineer at our rapidly growing engineering team in India, you will help deliver on strategic technical products having a direct business impact, while collaborating cross-functionally with multiple teams. You will use your experience with modern cloud and software development practices to build products that improve every step of the seller experience. Leveraging the data-rich features of the eCommerce industry, you will develop products dealing with millions of data points to support the growth of the world’s most scalable eCommerce optimization platform. You lean on your passion for technology to suggest and make improvements to our tech stack and infrastructure. You love to learn, and equally love to share your knowledge with others. You are both a listener and a contributor. You are a great communicator and you take care to understand before making yourself understood. You love trying out new frameworks and libraries. How You'll Spend Your Time Write code architected for scalability and re-use. Have strong opinions on code structure and modularization. Collaborate with product and design to move fast on creating solutions to business problems Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies Who You Are 2-5 years of experience in fast-paced, high-performance software engineering environments BS/MS/Ph.D. in Computer Science, EE, or equivalent Experience with modern Javascript application development, Node server frameworks (e.g. Koa or Express), and Typescript. Python, React or Webpack is a plus Familiarity with cloud computing environments, containers, CI/CD pipelines, best practices in quality, performance, and monitoring applications. Experience in any of the following – web application development, UNIX/Linux environments, distributed parallel systems, eCommerce applications Can contribute best practices and architectural leadership to our software development efforts Ability to communicate ideas effectively to achieve the right outcome for their team and customers Experience creating designs and participating in design reviews of related software A growth mindset and learning attitude – looking to constantly improve their skills, their knowledge of software, and their ability to get things done WE'VE GOT YOU COVERED Every Teikametrics employee is eligible for company equity Remote Work – flexibility to work from home or from our offices + remote working allowance Broadband reimbursement Group Medical Insurance – Coverage of INR 7,50,000 per annum for a family Crèche benefit Training and development allowance Press Reference About Teika Teikametrics’ Marketplace Optimization Platform, Flywheel 2.0, Adds AI-Powered Automation to Maximize Advertising Performance Across Marketplaces The job description is representative of typical duties and responsibilities for the position and is not all-inclusive. Other duties and responsibilities may be assigned in accordance with business needs. We are proud to be an equal opportunity employer. A background check will be conducted after a conditional offer of employment is extended. Show more Show less

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description: The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solution Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions This is a hands-on role, will be required to manage day to day delivery activities in executing analytics projects by analysing large volume of data Should have familiarity on solutions in core functional areas related to Promotion Effectiveness, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc. Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development This role requires excellent communication skills Must Have: Hands on experience in exploratory data analysis, A/B testing, Campaign Measurement and model building (end to end), customer Analytics, Loyalty and Promotions1-2 years in hospitality industry Tools: Databricks, Python, SQL, Experience on AWS platforms/Azure Excellent communication skills, both oral and written.Functional/Domain Experience:Good exposure to hospitality industry and their datasets Relevant Experience: 5+years of hands-on experience in Data Science Qualifications Educational Criteria:Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions OrMBA from Tier 1 institutions – Preferred Show more Show less

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Senior Data Scientist Location: Chennai Duration: 12 Months Work Type: Onsite Position Description: We are seeking an experienced and highly analytical Senior Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Skills Required: Statistics, Machine Learning, Data Science, Problem Solving, Analytical, Communications Skills Preferred: GCP, Google Cloud Platform, Mechanical Engineering, Cost Analysis Experience Required: 5+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity. Show more Show less