VP, Data Science: Credit Risk & GenAI Strategy

JPMorgan Chase; Wilmington (DE); On-site; USD 123,500 - 200,000; Full time

Job summary

JPMorgan Chase seeks a VP to shape how consumer and small business credit risk is analyzed at scale. You will turn payment and customer data into insights that influence lending strategy and risk decisions, partnering with senior Risk leaders to quantify tradeoffs and monitor emerging risks.

You will leverage cross-LOB data to inform credit models, develop actionable recommendations, and advance analytics across the lifecycle, including GenAI-enabled innovations.

Qualifications

• Advanced degree in statistics, econometrics, or a related quantitative field.
• Minimum 5+ years of risk management or quantitative experience; or BS with 7+ years.
• Deep expertise in the Consumer Financial Services industry.
• Strong Python and SQL expertise.
• Ability to frame ambiguous problems and define clear metrics.
• Excellent written and verbal communication for technical and non-technical audiences.

Responsibilities

• Initiate, develop, and complete advanced analytics projects.
• Identify, quantify, and monitor risks in consumers and small businesses.
• Translate data into clear, actionable insights for leadership.
• Research emerging risks and address new challenges.
• Deliver executive-ready narratives with insights and tradeoffs.
• Drive delivery across roadmaps, prioritizing initiatives.
• Leverage GenAI to improve analytics and risk monitoring.
• Stay current on industry trends and macroeconomics.
• Collaborate with Risk leadership to answer critical questions.

Skills

Python

SQL

Data analysis

Risk management

Communication

Project management

Cross-functional collaboration

Education

Advanced degree in statistics or econometrics

BS degree with 7+ years experience

Job description

JPMorgan Chase seeks a VP to shape how consumer and small business credit risk is analyzed at scale. You will turn payment and customer data into insights that influence lending strategy and risk decisions, partnering with senior Risk leaders to quantify tradeoffs and monitor emerging risks.

You will leverage cross-LOB data to inform credit models, develop actionable recommendations, and advance analytics across the lifecycle, including GenAI-enabled innovations.