Wholesale Credit Risk & Stress Forecasting Associate

Aumni; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase is seeking an Associate in Wholesale Credit Risk Loss Forecasting to influence loan loss estimation through forecasting and stress analytics for credit hedges and held-for-sale loans.

You will partner with Business, Finance, Quantitative Research, and Technology to strengthen assumptions, improve analytics, and deliver timely stress testing outputs for decision-making across risk lines. You will lead presentations and drive improvements in modeling, UAT, and automation initiatives.

Qualifications

• Bachelor’s degree in Business, Finance, Mathematics, or a related field.
• 3+ years of experience in credit risk, stress testing, risk analytics, model development, or similar roles.
• Strong knowledge of loan and derivative products; familiarity with leveraged finance and credit hedging instruments.
• Strong written and verbal communication skills.

Responsibilities

• Build and maintain deep product knowledge of loan underwriting and syndication activities (Corporate/Infrastructure credit) and wholesale credit hedging strategies.
• Conduct portfolio deep dive and risk analytics; stay current on credit market conditions and event-driven trends.
• Review and challenge stress forecasts for hedge P&L and loss‑mitigation under internal and regulatory scenarios.
• Develop clear, well-structured management presentations summarizing stress results and key drivers.
• Partner with Quantitative Research to refine modeling treatments and assumptions.

Skills

Excel

Tableau

Python

Automation

LLMs/AI

Communication skills

Risk analytics

Stres s testing

Education

Bachelor’s degree in Business, Finance, Mathematics, or a related field

Tools

Tableau

Python (automation)

Job description

JPMorgan Chase is seeking an Associate in Wholesale Credit Risk Loss Forecasting to influence loan loss estimation through forecasting and stress analytics for credit hedges and held-for-sale loans.

You will partner with Business, Finance, Quantitative Research, and Technology to strengthen assumptions, improve analytics, and deliver timely stress testing outputs for decision-making across risk lines. You will lead presentations and drive improvements in modeling, UAT, and automation initiatives.