Corporate and Investment Banking, Wholesale Credit Risk Associate

JPMorgan Chase

Quick summary

Work type
On-site
Location
Jersey City, NJ
Salary
$135,000–$150,000 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $142k
$120k most similar roles pay here $221k

This role pays less than 64% of similar roles. Most pay $129,350–$211,200 — the shaded band above. At the midpoint, this role pays about $142k versus about $170k for comparable roles.

Based on 240 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 · Corporate and Investment Banking, Wholesale Credit Risk Associate

Role Posting Log in to save

As a Quantitative Researcher in Wholesale Credit Risk Modeling at JPMorgan Chase’s Commercial & Investment Bank, you will develop and enhance quantitative models that support responsible growth and strong risk controls. You will collaborate closely with credit risk, finance, and technology teams to translate business needs into scalable model solutions, ensuring robust methodology, documentation, and governance for regulatory compliance and risk management. Your daily tasks include designing AI-enabled workflows to accelerate model calibration, back-testing, sensitivity analysis, performance monitoring, and diagnostics while maintaining methodological integrity. You will also develop Python frameworks and libraries that enable broader adoption across the modeling organization and communicate workflow designs and efficiency gains clearly to senior leadership and cross-functional partners. This role requires a Master’s degree in a quantitative or computing discipline, hands-on experience with Python (including pandas and NumPy), and expertise in large datasets and AI/ML workflows.

Skills

Python pandas NumPy AI ML data pipelines model risk management agentic AI workflows model calibration back-testing sensitivity analysis performance monitoring JPMorgan Chase Risk Management and Compliance

What you'll do

  • Develop software and analytic solutions for building and maintaining quantitative models.
  • Identify and resolve bottlenecks in model development using AI-enabled solutions.
  • Design agentic AI workflows that accelerate model calibration and performance monitoring.
  • Create reusable Python frameworks and libraries for broader modeling adoption.
  • Communicate workflow designs and limitations to senior leadership and governance committees.

What we're looking for

  • Master’s degree in a quantitative or computing discipline or bachelor’s degree with at least 3 years of relevant experience.
  • Hands-on programming experience in Python for data analysis and modeling using pandas and NumPy.
  • Experience working with large datasets and building repeatable data pipelines for modeling.
  • Expertise in designing or implementing AI/ML workflows, agentic systems, or intelligent automation.
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders.

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