Senior Quantitative Risk & Derivatives Research

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 100,000 - 177,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ, is seeking a Quantitative Research Associate to advance counterparty credit risk modeling for the firm’s derivatives portfolio.

Based in Jersey City, you will work with risk, technology, and research teams worldwide to enhance stressed exposure methodologies and ensure risk framework integrity. The role emphasizes deep quantitative analysis, model development, governance, and clear documentation, with responsibilities spanning development to production

Qualifications

• Formal training or certification on data science concepts and 2+ years applied experience
• Advanced degree (PhD, MSc, or equivalent) in Engineering, Mathematics, Physics, Computer Science, or a related quantitative discipline
• Proficiency in Python, with the ability to write clean, efficient, and well-documented code
• Demonstrated experience in quantitative finance or applied mathematics, with the ability to translate theoretical concepts into practical solutions
• Strong analytical and problem-solving skills, with a track record of working through complex, ambiguous challenges
• Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams in a global environment

Responsibilities

• Design and implement enhancements to the counterparty credit risk framework, ensuring models remain robust, accurate, and aligned with evolving regulatory and business requirements
• Conduct quantitative analysis leveraging the firm's infrastructure to evaluate model performance and support methodological development
• Collaborate with risk and technology partners to jointly manage the full model lifecycle, from development through validation and production deployment
• Provide timely and accurate support for business requests, translating complex quantitative concepts into actionable insights for stakeholders
• Monitor ongoing performance of the calculation framework and contribute to governance processes that ensure model integrity and compliance
• Partner closely with Quantitative Research teams across global locations to share knowledge, align methodologies, and drive consistency
• Produce clear and thorough documentation of modeling choices, theoretical frameworks, testing procedures, and results to support transparency and auditability

Skills

Python

Data science

Quantitative finance

Analytical thinking

Communication

Collaboration

Education

PhD, MSc or equivalent in Engineering, Mathematics, Physics, CS

Tools

C++

Job description

JPMorgan Chase & Co. in Jersey City, NJ, is seeking a Quantitative Research Associate to advance counterparty credit risk modeling for the firm’s derivatives portfolio.

Based in Jersey City, you will work with risk, technology, and research teams worldwide to enhance stressed exposure methodologies and ensure risk framework integrity. The role emphasizes deep quantitative analysis, model development, governance, and clear documentation, with responsibilities spanning development to production