Risk Management, Quantitative Research Associate

JPMorgan Chase

Quick summary

Work type: On-site
Location: Jersey City, NJ
Salary: $99,750–$177,000 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k

This role $138k

$86k most similar roles pay here $225k

This role pays less than 74% of similar roles. Most pay $138,187–$211,200 — the shaded band above. At the midpoint, this role pays about $138k versus about $175k for comparable roles.

Based on 239 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Risk Management, Quantitative Research Associate

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The role of Quantitative Research Associate at JPMorgan Chase's Commercial & Investment Bank involves contributing to the development and maintenance of models for managing counterparty credit risk across a global derivatives portfolio. Based in Jersey City, you will work with risk, technology, and quantitative research teams worldwide to enhance methodologies and ensure model integrity through robust performance monitoring and governance processes. Key responsibilities include designing model enhancements, conducting quantitative analysis, supporting business requests, and collaborating on the full lifecycle of models from development to production deployment. The ideal candidate has a strong background in quantitative finance or applied mathematics with advanced degrees and proficiency in Python and C++. Experience in counterparty credit risk, derivatives across multiple asset classes, and regulatory requirements is preferred, offering an opportunity to apply deep analytical skills to real-world financial challenges within a world-class team.

Skills

Python C++ SQL Linux Git Jenkins AWS Kubernetes Docker CI/CD PostgreSQL MongoDB Excel VBA Tableau Regulatory Compliance Counterparty Credit Risk Derivatives Model Governance

What you'll do

Design and implement enhancements to the counterparty credit risk framework.
Conduct quantitative analysis to evaluate model performance and support development.
Manage full model lifecycle, from development through validation and production deployment.
Provide timely support for business requests by translating complex concepts into insights.
Monitor ongoing performance of the calculation framework and ensure compliance.
Produce thorough documentation of modeling choices, frameworks, testing procedures, and results.

What we're looking for

Advanced degree (PhD, MSc) in quantitative fields like Engineering, Mathematics, Physics, or Computer Science.
Proficiency in Python and experience writing clean, efficient code.
Formal training or certification in data science with 2+ years of applied experience.
Demonstrated expertise in quantitative finance, translating theoretical concepts into practical solutions.
Strong analytical skills and a track record of solving complex problems in ambiguous environments.
Experience in counterparty credit risk, including familiarity with stressed exposure methodologies.
Knowledge of derivatives across multiple asset classes and proficiency in model governance frameworks.

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