Senior Quantitative Risk Researcher: Counterparty Modeling

Next Frontier Capital; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase in Jersey City is seeking a Quantitative Research Associate to contribute to counterparty credit risk modeling and to develop models that produce critical risk metrics for derivatives portfolios. Based in Jersey City, you will collaborate with risk, technology, and quantitative research partners worldwide to advance stressed exposure methodologies and ensure model integrity.

The role offers exposure to a world-class team where you apply deep quantitative skills to real-world

Qualifications

• Formal training or certification on data science concepts and 2+ years applied experience.
• Advanced degree in a quantitative discipline.
• Proficiency in Python with clean, well-documented code.
• Experience translating theoretical concepts into practical solutions.

Responsibilities

• Design and implement enhancements to the counterparty credit risk framework.
• Conduct quantitative analysis to evaluate model performance.
• Collaborate across risk, technology, and quantitative research partners.
• Provide timely support translating quantitative concepts for stakeholders.
• Monitor model performance and governance processes.

Skills

Python

quantitative finance

data science

communication

Education

Advanced degree (PhD, MSc, or equivalent) in Engineering, Mathematics, Physics, Computer Science

Tools

C++

Job description

JPMorgan Chase in Jersey City is seeking a Quantitative Research Associate to contribute to counterparty credit risk modeling and to develop models that produce critical risk metrics for derivatives portfolios. Based in Jersey City, you will collaborate with risk, technology, and quantitative research partners worldwide to advance stressed exposure methodologies and ensure model integrity.

The role offers exposure to a world-class team where you apply deep quantitative skills to real-world