Quant jobs / CME Group

Model Risk Management & Validation Policy Analyst

A model risk role at a derivatives exchange and clearing house, supporting model validation processes and policy for its clearing risk models. It sits in the firm's model risk management team.

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.

Run day-to-day model risk management processes and review model changes
Draft and update model risk policies and procedures
Maintain the model inventory
Work with third-party validators and judge the severity of their findings
Follow up remediation with model developers and users

What they ask for

Required

Master's in financial maths, financial engineering or similar
24 months in a financial risk role
C++, C#, Java or Python
Model risk best practice, including building validation tools
Derivatives and risk methods such as VaR and stress testing
Database queries and scripts

Education: Master's degree in financial maths, financial engineering or a related quantitative field
Experience: 2 years of risk, programming and model risk work, plus 1 year in a bank, financial institution or consultancy
Languages and tools: C++
C#
Java
Python
SQL
Markets: futures

How to prepare

Learn how clearing house margin models (VaR, SPAN-style) work and are back-tested
Build a small model inventory and risk-tiering template
Write a Python script that runs a VaR back-test and flags exceptions
Study futures and options clearing and default management

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 CME Group’s site before applying: requirements, location and pay can change after we check them.

View the posting on CME Group’s site ↗

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