Quant jobs / Jump Trading
Quantitative Developer
A developer on a core technology team that builds and runs the platforms behind a trading team. The role sits between quantitative researchers and the production trading environment.
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.
- Build and improve research and trading infrastructure used by quantitative researchers
- Deploy code to production and keep configuration and validation automated
- Monitor the live trading system and fix faults quickly
- Support internal users of the platform and upgrade applications
What they ask for
Required
- Python
- C++
- Developing and maintaining production code
- Analytical problem solving
- Working with large datasets
- Attention to detail
- Education
- No degree level stated
- Experience
- Production development experience implied; no years stated
- Languages and tools
How to prepare
- Write a small backtest framework in Python and port a hot loop to C++
- Practise debugging a live-style pipeline with logging and monitoring
- Learn source control and deployment workflows end to end
- Process a large tick dataset efficiently
What to study
- Python for Quantitative Finance
- Modern C++ for Quantitative Finance
- Quantitative Data Engineering
- Trading Systems and Low-Latency Infrastructure
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 Jump Trading’s site before applying: requirements, location and pay can change after we check them.
View the posting on Jump Trading’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Jump Trading and doesn’t handle applications.
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