Senior Quant Risk Researcher: Counterparty Modeling

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

Benefits offered by this job

Health insurance

Competitive total rewards package

Job summary

JPMorganChase in Jersey City is seeking a Quantitative Research Associate to develop and maintain models for counterparty credit risk across the derivatives portfolio. You will collaborate with risk, technology, and research teams globally to advance stressed exposure methodologies and ensure the integrity of the risk calculation framework.

Based in Jersey City, you will apply deep quantitative skills to real-world financial challenges while growing within a world-class team.

Qualifications

• Formal training or certification on data science concepts and 2+ years applied experience.
• Advanced degree (PhD, MSc, or equivalent) in a quantitative field.
• Proficiency in Python with clean, documented code.
• Experience in quantitative finance or applied mathematics.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration across global teams.

Responsibilities

• Design and implement enhancements to the counterparty credit risk framework.
• Conduct quantitative analysis to evaluate model performance and development.
• Collaborate with risk and technology partners across the full model lifecycle.
• Provide timely support translating quantitative concepts for stakeholders.
• Monitor performance and contribute to governance for model integrity.
• Engage with global Quantitative Research teams to share methodologies.
• Document modeling choices, theory, testing, and results for auditability.

Skills

Data science concepts

Python

Quantitative finance

Analytical problem solving

Communication

Education

PhD/MSc in Engineering/Mathematics/Physics/CS

Tools

C++

Job description

JPMorganChase in Jersey City is seeking a Quantitative Research Associate to develop and maintain models for counterparty credit risk across the derivatives portfolio. You will collaborate with risk, technology, and research teams globally to advance stressed exposure methodologies and ensure the integrity of the risk calculation framework.

Based in Jersey City, you will apply deep quantitative skills to real-world financial challenges while growing within a world-class team.