Quant jobs / JPMorgan

Quant Model Risk – Equity Derivatives

An independent model-review role in JPMorgan's Model Risk Governance and Review group, covering equity derivatives pricing models. It sits between model developers, trading desks and risk teams.

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 whether equity derivatives pricing and reserve models are conceptually sound
Build alternative benchmark models to test desk models against
Define performance metrics to monitor models after approval
Advise desks on how models should and should not be used
Act as first contact for model questions in the equities coverage area

What they ask for

Required

Probability and stochastic processes
Statistics and numerical analysis
Option pricing theory
Monte Carlo and numerical methods
C/C++
Python
Clear communication

Preferred

Equity derivatives experience

Education: MSc or equivalent in a relevant field
Experience: Not stated; Associate/VP level
Languages and tools: C++
Python
Markets: equities, options

How to prepare

Re-implement Black-Scholes and a local volatility model, then compare prices from PDE and Monte Carlo
Write a short independent review of a pricing model: assumptions, limits, failure cases
Build a Monte Carlo pricer in both Python and C++ and check convergence
Study how equity vol surfaces are built and where they break

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.