Quant jobs / Optiver

Risk Analyst

A trading risk role analysing positions, running stress tests and challenging risk limits. It sits in a market maker's growing risk team beside traders, researchers and engineers.

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.

Analyse risk on complex portfolios with traders
Design and interpret stress tests and scenarios
Build Python tools for risk analytics
Investigate limit breaches and propose process fixes

What they ask for

Required

1+ year relevant experience
Quantitative degree
Python
Data analysis
Interest in markets and risk
Clear communication

Education: Bachelor's or advanced degree in a quantitative discipline such as maths, statistics, physics, engineering, computer science or economics.
Experience: At least 1 year of relevant experience; US work authorisation required, no sponsorship
Languages and tools: Python

How to prepare

Build a Python stress-test engine for an options portfolio
Study Greeks-based risk and scenario analysis
Review past market shocks and how limits are set
Practise explaining risk exposures to non-specialists

What to study

The Risk 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 Optiver’s site before applying: requirements, location and pay can change after we check them.

View the posting on Optiver’s site ↗

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