Exotic Options Quant
A research role developing pricing models for exotic options and integrating them into a market maker's automated pricing and risk. It sits in the options research team working beside traders who use the models live.
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.
- Design or extend pricing models when a new option type is traded
- Integrate models into the automated pricing and risk stack
- Document new risks and roll out with trading and control teams
- Review current models for weaknesses with mathematical rigour
What they ask for
Required
- Degree or PhD in maths, physics or engineering
- Options theory and pricing models
- 2+ years developing exotic option models
- Strong C++
- Git and Linux
- Market experience at a competitor or bank
- Education
- Degree or PhD in maths, physics or engineering.
- Experience
- Up to 5 years in total, with at least 2 developing exotic option pricing models
- Languages and tools
- Markets
- options
How to prepare
- Implement Monte Carlo and PDE pricers for barrier and Asian options in C++
- Study local and stochastic volatility models
- Learn model risk and how to document new risks
- Practise hedging analysis for path-dependent payoffs
What to study
- Derivatives Pricing and Computational Finance
- Advanced Derivatives and Exotic Options
- Modern C++ for Quantitative Finance
- Linear Algebra, Optimisation and Numerical Methods
The Derivatives Pricing Quant roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
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.