Executive Director, ML Risk & Model Governance

Testing Site - JPMC; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase in New York seeks an Executive Director to lead the MRGR team for Consumer and Community Banking, validating and governing marketing ML models. You will ensure conceptual soundness, input reliability, and robust testing while coordinating with Risk, Finance, Operations, Digital, and regulators.

You will mentor staff, stay current with AI/ML advances, and drive risk controls across model development and usage in business contexts.

Qualifications

• PhD or Master Degree in Statistics, Economics (with a 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 elevate issues.
• Excellent communication skills (written and verbal).
• Experience managing teams

Responsibilities

• Lead and develop a team within MRGR for CCB to validate and govern Marketing models used across CCB.
• Lead validation of ML‑based Marketing models within CCB; demonstrate deep ML proficiency, recognize strengths and limitations, apply regulatory expectations to ML, and 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 implementation 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, parameter estimation error, and deviations from assumptions.
• Benchmark model outputs against empirical evidence and alternative/benchmark 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, elevate, and resolve issues promptly and soundly.
• Track and synthesize 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 their learning, capability building, and professional development.

Skills

ML techniques

NLP

Statistics

Regulatory understanding

Communication

Leadership

Risk management

Education

PhD or Master in Statistics/CS/OR

Econometrics

Data Science

Tools

Python

R

ML frameworks

Job description

JPMorgan Chase in New York seeks an Executive Director to lead the MRGR team for Consumer and Community Banking, validating and governing marketing ML models. You will ensure conceptual soundness, input reliability, and robust testing while coordinating with Risk, Finance, Operations, Digital, and regulators.

You will mentor staff, stay current with AI/ML advances, and drive risk controls across model development and usage in business contexts.