401 Econometrics Jobs - Page 14

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

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

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 Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Statistician with expertise in statistics, mathematics, econometrics, and experience with consumer panel data to revolutionize the way we measure consumer behavior both online and in-store. You will work on all methodologies sitting on our Panel On Demand (POD) platform which includes aggregation methods and analytical models. About The Role Collaborative Environment: Work with an international team in a flexible and supportive setting. Methodology Enhancement: Evaluate and improve current methodologies within the POD platform Research and Analysis: Present and communicate findings and recommendations based on rigorous research and analysis. Innovative Solutions: Develop prototypes of new solutions and methodologies to address market challenges. Deployment Support: Assist the technical deployment of proposed enhancements and new solutions. Documentation: Document findings, methodologies, and best practices comprehensively. About You Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights. Qualifications Qualifications Educational Background: Master’s Degree in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 3 years of relevant experience. Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, statistical modeling, sampling, and data aggregation techniques. Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels. Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets. Programming Proficiency: Experience with Python or another high-level programming language, with a willingness to learn Python. Database Handling: Skilled in SQL and working with queries and large-scale databases. Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Communication and Collaboration: Strong communication, writing, and collaboration skills. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

Full-time Job Description Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking an experienced leader with strong expertise in statistics, mathematics, econometrics, or a related field. You are a great fit if you have profound experience with consumer (panel) data and the methodologies related to it. About The Role Collaborative Environment: Work in an international team in a flexible and supportive setting. Leave a footprint: We create a new Consumer methods team in India, and you will be there right from the start, leading it. Methodology Enhancement: Evaluate and improve current methodologies, such as advanced validation routines, consumer models and projection techniques Research and Analysis: Develop new solutions for our Consumer product. Present and communicate findings and recommendations based on rigorous research and analysis to peers and senior stakeholders. Coordination: Coordinate efforts across multiple teams and stakeholders. About You You should possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. You should have experience in hiring and leading a team of experts. Educational Background and experience: Master’s Degree or phd in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 5 years of relevant experience with at least 2 years experience of managing a team. Statistical Expertise: Strong statistical and logical skills, with experience in outlier validation, sampling, bias reduction, indirect estimation, or data aggregation techniques. Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets. Programming Proficiency: Strong experience with Python or another high-level programming language, with a willingness to learn Python. Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Curiosity to follow the newest research in the relevant fields and transfer to our products and business processes; potentially collaborate with academia. Passion for developing people and a strong performing team. Communication and Collaboration: Strong communication, writing, and collaboration skills (English). Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics. Apply now to be a part of our innovative team! Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less

Micoworks is a company with a clear mission: to Empower every brand for the better future . This ambitious goal sets the stage for their vision and core values. Who we are By 2030, Micoworks aims to be the Asia No.1 Brand Empowerment Company . This mid-term goal outlines their dedication to becoming the leading force in empowering brands across Asia. To achieve their mission and vision, Micoworks identifies four key values that guide their work: WOW THE CUSTOMER SMART SPEED OPEN MIND ALL FOR ONE Micoworks' mission, vision, and values paint a picture of a company dedicated to empowering brands, working with agility and open-mindedness, and prioritising customer success. Job Summary The Senior Data Scientist will work on data-driven initiatives to solve complex business challenges, leveraging advanced analytics, machine learning, and statistical modeling. This role requires expertise in translating data insights into actionable strategies and collaborating with cross-functional teams. Ideal candidates will have a strong background in analytics, or tech-driven industries.Key Responsibilities Develop and deploy predictive models (e.g., customer lifetime value, media mix modeling, time-series forecasting) using Python/R, TensorFlow, or PyTorch. Clean, preprocess, and validate large datasets (structured/unstructured) from multiple sources. Partner with stakeholders (e.g., marketing, finance) to design data-driven solutions (e.g., A/B testing) Ensure adherence to data privacy and ethical AI practices Research and implement cutting-edge techniques (e.g., NLP, deep learning) to enhance business strategies. Required Qualifications Education: Master’s/PhD in Statistics, Computer Science, Econometrics, or related quantitative fields. Experience: 5+ years in data science, with expertise in: Programming: Python/R, SQL, Spark, and libraries (Pandas, Scikit-learn). Statistical methods: Decision trees, regression, DL and experimental design. Cloud platforms: Azure, Databricks, or AWS 5. Soft Skills: Strong storytelling, stakeholder management, and problem-solving. Show more Show less

Designation: Statistical Economics 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. The subject knowledge in Econometrics , Statistical Economics, Quantitative economics, etc., and various competitive examinations. 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. Must have appeared/qualified in UGC NET in economics or have given any MA entrance exam and cleared it. 2. Proficiency in instructional design and delivery methods(content delivery). 3. Faculty who have appeared for the IES(Indian Economics Services) Exam will given preference. Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

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 (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 Back testing, 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. Show more Show less

Job Description for MMM Role: Management Level : Ind&Func AI Decision Science Consultant Location : Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods: SVM, Decision Trees, Programming Languages & Tools: Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage Show more Show less

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. Identify, assess, and quantify market risk exposures across interest rates, foreign exchange (FX), and debt investment portfolios on banking book, ensuring alignment with the organization’s risk appetite and established risk limits. Conduct independent risk assessments and provide effective challenges on key Treasury risk processes including methodologies, models, key assumptions, reporting, governance, and controls, providing oversight across interest rate risk (IRR) management, FX hedging, and investment risk. Define, calibrate, and monitor non-trading market risk limits, escalation thresholds, and key risk indicators to ensure exposures remain within approved risk tolerances. Develop and implement robust asset liability management (ALM) policies, procedures, governance and controls in compliance with regulatory requirements and industry best practices. Perform independent reviews of end-to-end Treasury risk management practices, ensuring appropriate governance and controls, and clear definition on roles and responsibilities between 1LOD and 2LOD are in place. Lead the management of the interest rate risk, FX risk, investment risk pillars within the risk appetite framework, overseeing senior management communications, committee presentations, and Board reporting. Collaborate with internal stakeholders, including Risk, Treasury, Finance, Compliance and internal audit teams, to ensure a holistic approach to market risk oversight. Minimum Qualifications Bachelor’s degree in Finance, Statistics, Actuarial Science, Mathematics, Econometrics, Operations Research, or a related field. 4-8 years of experience in risk management, Treasury, or financial markets; preferably experience with asset liability management, specifically interest rate risk in the banking book (IRRBB), FX risk management, and investment risk oversight Strong understanding of interest rate and FX risk management principles, methodologies, regulatory frameworks and key interest rate risk metrics e.g., Earning at Risk and Economic Value of Equity. Strong verbal and written communication skills. Advanced proficiency in Excel and PowerPoint; experience with risk analytics tools and financial modeling is a plus. Show more Show less

Position Overview Job Title: CRO Wealth Management: Pre-Deal Analyst Corporate Title: Associate Location: Mumbai, India Role Description About Chief Risk Office (CRO) The Chief Risk Office function has Group-wide responsibility for the management and control of all credit, market, operational, enterprise and liquidity risks and has the responsibility of continual development of methods for risk measurement, frameworks and creating a bank wide strong risk culture. About the Wealth Management (WM) business in the Private Bank Deutsche Bank's Wealth Management business is one of the largest wealth managers worldwide. As a trusted partner of wealthy individuals and entrepreneurs, family offices and foundations, we create lasting value for clients. We specialize in developing bespoke solutions for our clients around the world, for instance wealth planning across successive generations and international borders, asset management with individual risk management, loans and deposits. All this is possible thanks to our global network, our many years of experience and our close collaboration with the Corporate Bank, Investment Bank and DWS. The Lombard Lending and Derivatives Risk Management Pre-Deal team is responsible for the analysis, monitoring and management of credit risk from Lombard Lending trades and IPB derivative trades across all asset classes. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities You perform Pre-deal trade level Advance Ratio calculation for Lombard Lending collateral as well as Credit Exposure and Initial Margin calculation for derivatives - fixed income, foreign exchange, commodities, credit, Emerging Markets and asset-backed securities. The Pre-Deal assessment uses quantitative and qualitative risk management techniques such as VAR, Potential Future Exposure, back-testing, scenario and stress testing and identification of other non-trivial risks (liquidity, wrong-way, dislocation, concentration risk, gap risk). You review Advance Ratio calculation rules and coordinate the implementation of new rules. You update the WM methodology handbook, business requirement documentations, KOPs and calculation workbooks. You closely interact with Lending Business, IPB & WM credit analysts and the IPB Agile team to discuss new trades, inherent risk and defend risk calculation approach, identify market trends, perform and communicate portfolio impact and concentration risk analysis, and identify and monitor deteriorating collateral. Your Skills And Experience University degree in Finance, Mathematics, Engineering, Physics, Economics, Econometrics, Statistics and if the degree is in Humanities subjects, then strong programming skills would be essential. Knowledge of financial markets, traded products, risk concepts and strong derivative product knowledge across multiple asset classes. Strong mathematical and statistical background, attention to details and strong analytical skills. Experienced in methodology development for financial products and excellent communication skills with ability to articulate technical and financial topics with Global stakeholders. 2-6 years working experience in Model Risk, Lombard Lending, Derivatives Business or Risk Management. Working experience in Excel and using large data sets in a statistical software package as Python for analysis and risk management. Able to multi-task and deliver under tight deadlines. How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

The Commercial Portfolio Products Development team (CPPD), within Global Commercial Services, is focused on designing and delivering a seamless digital experience that drives customer engagement as we'll as business growth. The Digital Capabilities team within CPPD team designs and delivers digital tools for middle market, large and global scale companies to effectively lead their Corporate Card programs. We are looking for a seasoned Product professional to join our growing team and drive development of key Commercial products. The ideal candidate will be enthusiastic about creating digital technologies to enable seamless and intuitive corporate product experiences. The individual in this role will drive the product adoption and strategic plans to launch digital features as part of the Corporate Program Product Development (CPPD) team. The candidate will exhibit strong communication and organizational skills and have a proven record of delivering value while leading multiple priorities and tight timelines. Purpose of the Role: Develop, design & deploy insights products for commercial clients providing insights and actionable recommendations to optimize their travel and expense programs. Drive efficiency and scale via automated utilities & solutions that can drive scale and enable deeper penetration of insights products to meet customer needs. Individual is preferred to bring and build T&E domain expertise, industry and business trends that s helpful in consultative discussion with key client personas. Key Responsibilities Related experience in Product Development or Product Management Conduct prototyping of insights products and services based on client needs using tools like HIVE, Python, SQL, Tableau Leverage advanced analytics to drive innovative solutions Proven history of delivering adoption of digital product Partner with technology to put offline products to scalable digital roadmap, manage end to end delivery plan and associated risk. Plan and drive the PI delivery schedule Solid understanding of user-centric design principles and agile methodologies Excellent communication, collaboration, and critical thinking skills Experience collaborating with corporate clients and Enterprise software solutions High diligence with an eye for accuracy and controls Strong results-orientation, resourcefulness, and flexibility to overcome significant obstacles to achieve goals in a demanding environment Minimum Qualifications: 3-5 years of relevant work experience Prior experience in financial sector preferred and having product mindset. Expertise in programming tools Python / Hive / SQL / VBA / Tableau Knowledge and application of statistical methods Expertise in end-to-end automation of solutions Strong Client and stakeholder management; Communication skills; Presentation skills Bachelors degree in Engineering, Computer Science, Statistics, Econometrics, Mathematics, Operations Research Expertise in programming tools Python / Hive / SAS / SQL / VBA / Tableau Experience in digital product development / exposure to implementation of Agile/Scrum methodologies. Preferred Qualifications : Experience in designing scalable solutions and lead implementation of complex data product Strong program management, analytical & problem-solving skills Ability to think abstractly and deal with ambiguous/under-defined problems Experience in payments, financial sector (any other relevant) industry preferred Experience with analytics for commercial clients / travel & expense programs / fintech preferred Functional Skills / Technical Skills Experience in product development Good Presentation skills Solution Designing Analytics, Insights & Targeting Python, HIVE, SAS, SQL, Advanced Excel Basic statistical technique and algorithms We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

The Global Risk & Compliance Organization ( GRC ) independently oversees the company s risk-taking and risk management activities, including the comprehensive identification, management, and mitigation of risks within the Company s risk appetite. GRC ensures the company operates in a safe, sound and fully compliant manner within all applicable regulatory expectations. We create and maintain the overall risk management framework while ensuring legal and regulatory compliance. We are passionate about our commitment to drive the company s goals of growth and progress by creating a culture of awareness and proactivity around regulatory matters, and by partnering closely with business units across the enterprise to ensure we'deliver maximum value to our shareholders and our customers efficiently and effectively. We are seeking a highly experienced Director, Capital Management Oversight, to join our Enterprise Risk Management and Risk Oversight (ERM&RO) function within GRC. You will serve as a subject matter expert, providing guidance and independent oversight to American Express s capital management processes, including CCAR, ICAAP, and Capital Contingency Planning. The Director will aggregate, integrate, and assess all risks to the company s capital position, to provide significant strategic recommendations to the Head of Enterprise Risk Management, Treasurer, and the different risk committees across the enterprise. Our culture in Global Risk & Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Key Responsibilities: Assess capital goals, estimation methodologies / measurements and underlying controls Define the respective capital risk appetite and ensure that Treasury is operating within it Advocate American Express s risk culture throughout the Capital Planning process; educate teammates on sound risk management practices. Lead, drive and embed best practice and pragmatic risk management Conduct independent reviews of all capital management processes, and communicate conclusions and required remediations to Treasury senior leadership Contribute to material risk identification, stress scenario narrative development, macroeconomic variable shocks, and idiosyncratic event selection for CCAR and ICAAP Independently review stress testing assumptions and forecasts for balance sheet, revenue, and loss components Conduct regulatory mapping (ie, SR 15-19) against the current Capital Planning environment to ensure Treasury and other forecast owners are meeting enhanced supervisory expectations Engage with regulators, auditors, and other external stakeholders on capital management risk-related matters, ensuring compliance with regulatory requirements and addressing any inquiries or examinations Establish a coherent and comprehensive set of risk limits that are consistent with the stated Risk Appetite through quantitative expressions of risk tolerance and capital adequacy Minimum Qualifications: 6-8 years of risk management experience in financial services including extensive experience in CCAR, capital planning, and risk appetite frameworks Advanced degree in Business, Finance, Statistics, Econometrics, or a related field is required Excellent communication and stakeholder management skills, with the ability to influence and collaborate with senior executives and cross-functional teams Ability to think strategically, manage complex projects, and deliver results in a fast-paced, dynamic environment Strong understanding of financial services regulations and risk management best practices Strong leadership skills with a demonstrated ability to effectively hire, coach, train, and develop a team and to promote collaboration across geographies CFA or FRM designation preferred We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

As a Manager in our Retail Methodology team, you ll play a key role in helping to provide insights and calculate credit metrics impact on Risk Weighted Assets, Provisions and other Credit Risk measurements for current and proposed regulatory and accounting environments. 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: Bengaluru Role Type: Permanent, Fulltime What will your day look like? As a Manager, Retail Methodology, you will: Develop methodology compliant with credit risk regulatory capital or accounting requirements. Build strong relationships with key stakeholders to ensure Basel III Capital and IFRS 9 Provisioning outcomes are clearly communicated. Manage and respond to APRA/Regulator queries and data requests (quarterly and adhoc). Liaise with product owners to assist with product approvals. Deliver accurate quantitative data with clearly documented assumptions. Help embed a great risk culture in ANZ. Ensure policies and processes relevant to the role are complied with. What will you bring? To grow and be successful in this role, you will ideally bring the following: Understanding of Basel framework and Credit Risk components SAS and SQL and Advanced Excel Quantitative Degree in statistics, actuarial, econometrics, mathematics, operations research or related field Ability to work independently and as part of a team

Overall purpose of role The role holder will work both independently and as part of a team to provide expert analysis and commentary on the bank s wholesale credit and counterparty credit risk profile and internal capital assessment. This is an exciting opportunity for someone who wants to work with, Treasury and Capital Management, Trading and Banking teams to understand the risk on wholesale credit risk (WCR), derivative and financing transactions. The areas of focus are: Defining the future state vision for Risk processes and strategic transformation within Risk. Team lead and accountable for the capital adequacy assessments carried out for WCR ICAAPs including the execution, model ownership, outcome analysis and presentation. Making sound risk assessment decisions and comfortably conveying technical analysis to senior stakeholders. Create a control exemplary process and drive improvements and innovation. Transformation of risk analytics processes Team will comprise of capital assessment and stress testing SMEs across Mumbai and London. Key Accountabilities Own and manage end-to-end process to deliver internal capital assessment results for WCR trading book (CCR or Counterparty Credit Risk) and banking book, including computation, review, challenge of results and explanation of movements. Lead the enhancement of analysis generated to support the output of economic capital and Pillar 2 Add-on results. Prepare papers required to support the approvals and governance, including materials for Risk and Treasury Committees. Responsible for independently obtaining approval from Internal model Validation Unit (IVU) for generated results. Identify and/or quantify limitations of existing model suite and propose mitigation, improvements or new model development requirements including model documentation and annual model reviews. Stakeholder Management and Leadership Engage and escalate appropriate issues to local Senior Risk Management. Engage with key stakeholders across Risk, Finance, Treasury and Tech to manage and maintain relationships Share cross-functional experience with a wider variety of stakeholders to achieve better execution of results and improve strategic business decision Be the point of contact as the SME in capital assessments Person Specification Self-motivated, strong team player and experienced team leader Able to priorities and adapt to changing short term requirements, without impacting long term commitments Strong appreciation of the control environment Effective, clear communication skills and a highly analytical mind with a strong attention to detail Essential Skills/Basic Qualifications: Strong track record in risk management (10 years +) Detailed understanding of CCR and WCR models (EEPE, PFE, RWA, LGD, EAD and Economic Capital) and capital calculations; Detailed knowledge of Financial Markets, Wholesale Credit and Derivative Products and strong analytical skills with a high attention to detail Experience in dealing with large and complex data structures and stress testing methodologies Desirable skills/Preferred Qualifications: Related professional qualifications (e.g. FRM, CFA, CQF) Bachelor s degree in Finance, Engineering or a Mathematical or Quantitative related field Regulatory knowledge (CRR, PRA, EBA) Knowledge of econometrics methods used in risk modelling Purpose of the role To support the Risk Function in delivering it s objective of safeguarding the banks financial and operational stability by proactively identifying, assessing, mitigating, and monitoring risks across various business units and activities. Accountabilities Development of strategic direction for risk, including the implementation of up-to-date methodologies and processes. Management of the risk department, including oversight of risk colleagues and their performance, implementation of risk priorities and objectives, oversight of department efficiency and effectiveness. Relationship management of risk stakeholders, including identifying relevant stakeholders, and maintenance of the quality of external third-party services. Adherence to the Risk policy, standards and frameworks, and maintaining a robust control environment. Director Expectations To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide.. They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives. Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function. Escalates breaches of policies / procedure appropriately. Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence. Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate. Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives. Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives. Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations. Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area. Negotiate with and influence stakeholders at a senior level both internally and externally. Act as principal contact point for key clients and counterparts in other functions/ businesses divisions. Mandated as a spokesperson for the function and business division. All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.

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

Company Description CrystalVoxx Global LLP is a healthcare econometrics company specializing in Medical Billing and Coding Services for individual and group practices. With a focus on Provider Insurance Credentialing, Claims Management, and Revenue Cycle optimization, CrystalVoxx helps practices improve their financial performance. The company's process workflow, analytics, and technology ensure no money is left uncollected, with 14 years of experience in healthcare caretaking across various specialties. Role Description This is a full-time on-site role for an AR Trainee located in Nagpur. The AR Trainee will be responsible for tasks related to Accounts Receivable including debt collection, invoicing, financial analysis, and communication with stakeholders. The role involves ensuring timely payment collection and maintaining accurate financial records. Qualifications Effective Communication skills Attention to detail and strong organizational skills Proficiency in MS Excel and other financial software Show more Show less

ARCADIS is looking for Azure Data Engineer with a passion to drive and execute Digital to the core of everything we do. We firmly believe in “Everything Digital, Digital Everything”. We are transforming, we are reimagining the industry and we are reimagining how communities and nations can help becoming more sustainable places to live for today and future generations. Technology is the core and integral part of what we do, all the way for empowering Arcadians to harnessing power of data and AI/ML for sensors, IIOT and Advanced Drones, the technology teams are Dreaming Big and Delivering on future. As part of our Technology drive, we are looking for on-board talented and passionate Azure data engineers across multiple locations in North America. Role accountabilities: Possess excellent design and coding skills and a zeal for owning the complete SDLC of building applications in a DevOps environment You are excited about working with Azure Data Platform challenges while building the next wave of software engineering solutions Collaborating with and across Agile teams to design, develop, test, implement, and support technical solutions in Microsoft Azure Data Platform Leading the craftsmanship, security, availability, resilience, and scalability of your solutions Very strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries. Strong experience in T-SQL, SSIS, SSAS, SSRS Azure Data Factory Azure Data Lake Store Azure Data Lake Analytics (Good to have, not mandatory) Azure SQL DB Azure SQL DW Azure Analysis Services, DAX Azure Data Bricks with Python/Scala Experience in building end to end solution using Azure data analytics platform. Experience in building generic framework solution which can be reused for upcoming similar use cases. Experience in building Azure data analytics solutions with DevOps (CI/CD) approach. Experience in using TFS, Azure Repos. Mentor peers to gain expertise on Azure data platform solutions skills. Experience in developing, maintaining, publishing, and supporting dashboards using Power BI. Strong experience in publishing dashboards to Power BI service, using Power BI gateways, Power BI Report Server & Power BI Embedded Qualifications & Experience: Basic Qualifications: Bachelor in Engineering/Math/Statistics/Econometrics or related discipline Should have 3-8 years of experience in MSBI with relevant hands-on experience in Azure Data Platform (must) for a minimum of 3 years. Preferred Qualifications: Master’s or Minor in Computer Science 3+ years of experience developing Data Engineering solutions Architecture, design experience with good knowledge of data model design & their implementation. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity. Show more Show less

The Microsoft E+D India team is looking for high caliber and highly motivated AI Experts to reimagine productivity with AI and build transformative products for our commercial customers. Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and so on. In addition, the team obsesses about building next generation engineering infrastructure, tooling and process using AI for improving developer productivity and engineering efficiency. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data for fine tuning to generating actionable insights to fine tune prompts to come up with evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios to create AI tooling. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field. 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 Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. 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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Preferred Qualifications Solid customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc.. #M365CORE 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

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