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JPMorgan Chase3 months ago

Risk Management - Quant Modeling Director - Executive Director

On-site · New York City, New York, United States

Type
Full Time
Level
Senior Level
Education
Masters Degree
Company size
Enterprise
Industry
Investment Banking

Job Summary

Lead and develop the MRGR team for Consumer and Community Banking to validate and govern Marketing ML models. Lead validation of ML-based Marketing models within CCB; demonstrate deep ML proficiency; apply regulatory expectations to ML; articulate the appropriateness of model techniques. Apply and master standard ML tools and programming languages to support robust model assessment. Execute comprehensive model reviews by evaluating conceptual soundness, assessing assumption reasonableness and input reliability, verifying testing completeness, confirming numerical robustness, and justifying performance metrics and risk measures. Design and implement experiments to quantify model risk, including impacts from model limitations and deviations from assumptions. Benchmark model outputs against empirical evidence and alternative models to validate performance and stability. Collaborate with stakeholders across Model Development and Users (Risk, Finance, Operations, Digital, Marketing), MRGR, Fair Lending, Technology, Control functions, Internal Audit, and regulators to drive transparent outcomes. Maintain model risk controls for CCB models, serve as the first point of contact, and identify, escalate, and resolve issues promptly. Track advances in modeling techniques (advanced AI/ML), products, markets, risk management practices, and industry standards relevant to CCB. Mentor and train junior team members to accelerate learning and professional development.

Required Qualifications

  • PhD or Master Degree in Statistics, Economics (focus on Econometrics), Data Science, Computer Science, Operations Research, Physics, Engineering, Applied Math or a quantitative discipline
  • 10+ years of relevant experience, with at least 5+ years of experience in applied quantitative research or model development for retail financial products, including machine learning experience, with demonstrated leadership excellence
  • In depth knowledge of machine learning techniques (supervised and unsupervised), natural language processing, data mining as well as experience in probability theory, econometrics, statistics, numerical methods
  • Product domain expertise in retail (consumer) banking products and ability to understand the business / knowledge of regulation surrounding business
  • Excellent analytical and problem solving abilities
  • Risk & Control mindset: Inquisitive nature, ability to ask right questions and escalate issues
  • Excellent communication skills (written and verbal)
  • Experience managing teams
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JPMorgan Chase

Risk Management - Quant Modeling Director - Executive Director

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