Wholesale Credit Risk Quantitative Research

Bring your expertise to JPMorganChase. As 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. As a member of the Quantitative Research team for Wholesale Credit Risk Modeling, you will work alongside experienced researchers and business partners, deepening both your quantitative toolkit and your business acumen.

What you'll do

• Build and own wholesale credit models end-to-end (PD/LGD/EAD, rating transitions) supporting CCAR and CECL, with rigorous backtesting, monitoring, and model governance.
• Apply stats/econometrics and targeted AI/ML for forecasting, risk monitoring, and explainability productionize with robust data pipelines and controls in partnership with Data/Tech.
• Prepare clear, comprehensive documentation for regulatory and internal reviews present results and model impacts to senior risk committees.

Required qualifications, capabilities, and skills

• Quantitative degree (Engineering, Financial Engineering, Computer Science, Mathematics, Statistics, Econometrics).
• Strong applied statistics/econometrics (GLMs, logistic regression, time series familiarity with trees/clustering.
• Experience working with large-scale panel datasets, including data cleaning, filtering and feature engineering.
• Hands-on Python with good software practices (version control, testing, reproducibility).

• Foundational credit risk modeling knowledge and experience writing regulatory-grade documentation.

• 4+ years relevant experience preferred.

Preferred qualifications, capabilities, and skills

• Wholesale Credit experience strong preference for CRE modeling.
• Beneficial: SQL and distributed data tools cloud-based workflows Excel proficiency.

Beyond your technical skills, we value the qualities that make you unique-your personal attributes, interests, and achievements beyond academia and professional roles-that demonstrate who you are and the impact you can bring to our team.