Quant jobs / JPMorgan

Quant Model Risk – Interest Rates

A model risk role in JPMorgan's independent Model Risk Governance and Review group, assessing models used to value and measure risk on interest rate derivatives. It includes mentoring junior reviewers.

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.

Review rates pricing engines and reserve methods for conceptual soundness
Judge whether models suit particular products and structures
Build challenger models and compare outputs
Track model performance over time
Coach and supervise junior team members

What they ask for

Required

5+ years in front office or model risk quant work
Probability, stochastic processes and PDEs
Numerical analysis and statistics
MSc or PhD in a quantitative field
Option pricing and hedging theory
Coding in C/C++ or Python
Strong written and spoken communication

Preferred

Rates derivatives experience

Education: MSc, PhD or equivalent in a quantitative discipline
Experience: 5+ years in front office or model risk quant roles
Languages and tools: C++
Python
Markets: fixed-income

How to prepare

Implement a Hull-White or SABR model and test calibration stability
Learn curve construction and multi-curve discounting
Build a finite-difference PDE solver and benchmark it against Monte Carlo
Practise writing a model review note covering limits and tests

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.