Quant jobs / Radix Trading
Quantitative Technologist
A software engineering role at a proprietary electronic trading firm, improving live trading systems and research infrastructure. Most of the code is modern C++ and ships to production daily.
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.
- Ship production C++ changes to live trading and strategy code
- Improve simulation and machine learning infrastructure that handles petabytes of data
- Speed up alpha-generation pipelines used by researchers
- Work on distributed components within a large shared code base
What they ask for
Required
- Low-level language skills in C++ or C
- Data structures and algorithmic complexity
- Numerical algorithms
- Distributed systems and communication
- Experience in a large code base
- Deploying software to production
- Education
- Not stated.
- Experience
- Production software experience implied; no minimum years stated
- Languages and tools
How to prepare
- Write a modern C++ project such as a limit order book with unit tests and benchmarks
- Study algorithmic complexity and cache-aware data structures
- Learn how distributed systems pass messages and handle failure
- Practise profiling and shipping code through a review and release process
What to study
- Modern C++ for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
- Quantitative Data Engineering
- Professional Quant Practice
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 Radix Trading’s site before applying: requirements, location and pay can change after we check them.
View the posting on Radix Trading’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Radix Trading and doesn’t handle applications.
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