Quant jobs / Optiver
Software Engineer – Automated Trading Systems
A core engineering role on the infrastructure behind a market maker's automated trading. It sits in the core software team that the trading-focused development teams build on.
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.
- Improve the performance and stability of shared core trading components
- Review and simplify code that trading teams depend on
- Work with trading teams to shape new platform directions
- Debug concurrency and latency problems in C++ on Linux
What they ask for
Required
- 4+ years software engineering
- Algorithms, memory and concurrency models
- CPU architecture and operating systems
- Relational databases
- C++ on Linux or willingness to learn
Preferred
- Python and C# experience
- Education
- No degree level stated.
- Experience
- 4+ years in software engineering; finance experience not required
- Languages and tools
How to prepare
- Study memory models, lock-free structures and cache behaviour
- Write and benchmark a small C++ order-book component
- Learn Linux profiling tools such as perf
- Understand at a high level how an exchange matching engine works
What to study
- Modern C++ for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
- Market Microstructure and Execution
- Quantitative Data Engineering
The HFT Quant Developer 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.
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