JPMorgan Chase—Quant Modeling Assoc

Job description

Description: What You'll Do: • Contribute to the research and enhancement of the risk methodology for AWM Risk Analytics. The methodology covers sensitivity, stress, VaR, factor modeling, and Lending Value pricing for investment (market), counterparty (credit), and liquidity risk. • Prepare comprehensive model documentation for the Model Risk Governance and Review group to validate the models our team owns and uses, along with ongoing monitoring and back testing. • Assist with continuous improvements in our adopted AI/ML and statistical technics used in our data and analytics validation process. • Contribute to the analysis of new and large data sets and assist with their onboarding, following our best practice data model and architecture using big data platforms. What We're Looking For: • A highly quantitative, technically proficient individual who is detail-oriented, able to multi-task, and work independently. • A strong understanding of advanced statistics applied AI/ML techniques, and a practical problem-solving mindset. • Good understanding of equity and fixed income (rates and credit) products and financial markets. • Excellent communication skills. • Possess in-depth knowledge of asset pricing, VaR backtesting techniques, and model performance testing is a plus. • Knowledge in modular programming in Python, ML, and TensorFlow is a plus. • A degree in a quantitative field (Economics, Maths/Statistics, Financial Engineering, or equivalent) is preferred. Why Join Us? We offer a vibrant and inclusive workplace that benefits from the perspectives and talents of our diverse team. We encourage open dialogue and professional growth. Join us and be a part of a global organization that is redefining the world of asset and wealth management.