Risk Management, Quantitative Research Senior 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 $178k
This role $138k
$86k most similar roles pay here $224k

This role pays less than 80% of similar roles. Most pay $145,200–$210,417 — the shaded band above. At the midpoint, this role pays about $138k versus about $178k 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.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Risk Management, Quantitative Research Senior Associate

Role Posting Log in to save

The Senior Associate role in Risk Management - Quantitative Research at JPMorgan Chase's Commercial & Investment Bank involves developing and maintaining models for counterparty credit risk, focusing on derivatives exposures. Based in Jersey City, you will work with global partners to enhance risk frameworks, conduct quantitative analysis, and ensure model integrity through validation and governance processes. Key responsibilities include implementing robust methodologies, supporting business requests, and collaborating across technical teams. The ideal candidate holds an advanced degree in a quantitative field and has experience in Python programming, quantitative finance, and derivatives. Familiarity with C++, counterparty credit risk, and regulatory requirements is beneficial. This role offers the chance to apply deep analytical skills to real-world financial challenges within a world-class team at a global scale.

Skills

Python C++ SQL Linux Git Jenkins Docker Kubernetes AWS Azure Google Cloud Platform PostgreSQL MongoDB Apache Spark R MATLAB TensorFlow PyTorch CI/CD Agile

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.
  • Provide actionable insights for stakeholders based on complex quantitative concepts.
  • Monitor calculation framework performance and ensure model integrity and compliance.
  • Partner with global Quantitative Research teams to share knowledge and methodologies.

What we're looking for

  • Advanced degree in Engineering, Mathematics, Physics, Computer Science, or related field
  • Proficiency in Python and experience with C++ for financial modeling
  • 2+ years of applied experience in quantitative finance or applied mathematics
  • Experience in counterparty credit risk and familiarity with exposure methodologies
  • Strong analytical skills and ability to solve complex problems effectively
  • Excellent communication and collaboration skills across technical and non-technical teams
  • Working knowledge of derivatives across multiple asset classes

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