Quant jobs / JPMorgan

Quant Model Risk – Counterparty Credit Risk

A model validation role in JPMorgan's Model Risk Governance and Review group in Bengaluru, covering counterparty credit risk, XVA and capital models. You would work with quants, risk teams and traders.

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.

Validate XVA, counterparty exposure and IMM capital models
Judge conceptual soundness, assumptions and input quality
Check implementation testing is complete
Run ongoing performance monitoring and regulatory back-testing
Help maintain the model inventory and governance policies

What they ask for

Required

Bachelor's or above in a quantitative field
Probability and statistics
Mathematical finance and stochastic calculus
Econometrics and numerical methods
Problem-solving and clear communication
Working independently with remote supervision
Risk and control mindset

Preferred

Python
Finance modelling knowledge

Education: At least a bachelor's degree in mathematics, science, engineering, statistics or quant finance
Experience: Not stated; Analyst/Associate level
Languages and tools: Python
Markets: multi-asset, credit

How to prepare

Simulate exposure profiles for interest rate swaps with a simple rates model
Learn the building blocks of CVA, netting and collateral
Study how exposure model back-testing is done
Write up a mock validation of a Monte Carlo exposure engine

What to study

The Model Validation 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.