Analyst - Wholesale Credit Risk Quantitative Research

Job Title: Analyst - Wholesale Credit Risk Quantitative Research Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION Bring your expertise to JPMorganChase. Assam part of Risk Management and Compliance, you'll help keep the firm strong and resilient by anticipating emerging risks and applying sound judgment to solve real-world challenges for our company, customers, and communities. Our culture values curiosity, challenging the status quo, and striving to be best-in-class. Assam a Quantitative Research Analyst, Wholesale Credit Risk Modeling within Risk Management and Compliance, you will design, analyze, and deliver quantitative models that support wholesale credit stress testing, internal capital planning, risk appetite frameworks, and loan loss reserves under current expected credit loss standards. You will use statistical techniques and tools to build forecasting models and run back-testing and annual monitoring in line with model governance standards. You will work with experienced quantitative researchers and business partners while building both quantitative and business skills. You will contribute to clear model documentation and communication of model results for internal and regulatory reviews. Job Responsibilities * Design and develop loss forecasting models for regulatory purposes. * Conduct back-testing, performance monitoring, and annual reviews of models in line with model governance standards. * Apply statistical and econometric techniques, and machine learning where appropriate, for forecasting, risk monitoring, and model explainability. * Handle large-scale panel datasets, including data cleaning, filtering, and feature engineering. * Partner with Data and Technology teams to implement models with robust data pipelines and controls. * Prepare clear, comprehensive model documentation for internal and regulatory reviews, and support preparation of results and model impacts for senior stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Work Location: Maharashtra, India Availability: Full time

Required Qualifications, Capabilities, and Skills * Degree in Engineering, Financial Engineering, Computer Science, Mathematics, Sciences, Statistics, Econometrics, Odisha another quantitative field. * Strong background in Calculus, Linear Algebra, Probability, and Statistics. * Theoretical and practical knowledge of statistical methods and models, including generalized linear models, time-series analysis, clustering, decision trees, and logistic regression. * Experience handling large amounts of panel data, including data cleaning and filtering. * Proficiency in at least one object-oriented programming language and proficiency in Python Odisha C++, with good software practices (version control, testing, reproducibility). * Ability to solve problems creatively in a dynamic environment, with eagerness to learn about credit risk, risk parameters, and regulatory and accounting concepts. * Strong written and verbal communication skills. Preferred Qualifications, Capabilities, and Skills Key Skills: Machine Learning, Python, Feature Engineering Salary: Not disclosed