Quant Research Associate: Counterparty Risk for Derivatives

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Quantitative Research Associate to develop and maintain risk models used to manage counterparty risk across the derivatives portfolio.

You will work with risk, technology, and research partners globally to advance stressed exposure methodologies and ensure robust risk calculations. The role emphasizes applying deep quantitative skills to real-world financial challenges, contributing to a world-class risk framework while growing within a collaborative,

Qualifications

• Formal training in data science concepts and 2+ years of 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

Quantitative finance

Analytical skills

Collaboration

Data science concepts

Education

PhD or MSc in quantitative discipline

Tools

C++

Job description

JPMorgan Chase & Co. in Jersey City seeks a Quantitative Research Associate to develop and maintain risk models used to manage counterparty risk across the derivatives portfolio.

You will work with risk, technology, and research partners globally to advance stressed exposure methodologies and ensure robust risk calculations. The role emphasizes applying deep quantitative skills to real-world financial challenges, contributing to a world-class risk framework while growing within a collaborative,