Quant jobs / Optiver
Software Engineer – Real-Time Pricing
An engineering role on the platform that prices millions of listed derivative contracts in real time. It sits in a market maker's pricing systems team working with traders and researchers.
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.
- Speed up low-latency data processing in the pricing platform
- Scale the large compute jobs that produce pricing datasets
- Keep pricing data consistent across several data centres
- Automate releases so model changes reach production faster
What they ask for
Required
- Large-scale distributed or real-time systems
- Strong software engineering fundamentals
- Reliable production code
- Working with traders and researchers
Preferred
- C++
- Interest in derivatives pricing or systematic trading
- Education
- No degree level stated.
- Experience
- Experience building distributed or real-time systems; years not stated
- Languages and tools
- Markets
- options, futures
How to prepare
- Learn the basics of how listed options and futures are priced
- Build a small low-latency pipeline and profile its bottlenecks
- Study consistency and replication in distributed data systems
- Brush up modern C++ and concurrency
What to study
- Modern C++ for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
- Derivatives Pricing and Computational Finance
- Quantitative Data Engineering
The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.
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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.
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