Quant jobs / JPMorgan

Quantitative Researcher – XVA and Counterparty Credit Risk

Quant developer-researcher building pricing and risk models for XVA, margin and counterparty credit risk. Sits in J.P. Morgan's quantitative trading and research team beside XVA trading and credit risk.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Develop models for XVA, margin and counterparty exposure from research to release
Translate trader and risk needs into model changes and support live issues
Work with technology on implementation and testing
Maintain documentation and monitoring with model validation

What they ask for

Required

Advanced degree in a quantitative field
Probability and statistics
Derivatives pricing
Python and/or C++
Ownership and communication

Preferred

Agentic AI and data pipeline experience
Product development lifecycle experience

Education: Advanced degree in a quantitative field, or Bachelor's with 2+ years of relevant experience
Experience: Associate or Vice President level; 2+ years if Bachelor's only
Languages and tools: Python
C++
Markets: multi-asset, credit

How to prepare

Simulate swap exposure profiles with Monte Carlo and compute CVA by hand
Understand netting, collateral and initial margin models
Implement a Hull-White rate model and calibrate it
Review how model governance and monitoring work

What to study

The Derivatives Pricing Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on JPMorgan’s site before applying: requirements, location and pay can change after we check them.

View the posting on JPMorgan’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with JPMorgan and doesn’t handle applications.