Quant jobs / DRW
Senior Software Engineer – Trading Team
A hands-on engineering role owning the research and production stack for mid-frequency equity statistical arbitrage. The scope runs from data ingestion to post-trade analysis.
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 tune data pipelines for research and production
- Develop simulation and backtesting platforms
- Connect strategies to execution systems and live trading
- Create monitoring, diagnostics and attribution tooling
- Improve reliability and observability of the stack
What they ask for
Required
- 5+ years designing and running complex systems
- Strong system design
- Quality focus on correctness, testing and reliability
- Understanding of the end-to-end systematic trading stack
- Large-scale data pipeline experience
Preferred
- Equity stat-arb experience at a hedge fund or prop firm
- Education
- Not stated
- Experience
- 5+ years of software engineering on complex systems
- Markets
- equities
How to prepare
- Build an end-to-end mini trading stack: data ingest, backtest, paper execution, monitoring
- Learn how stat-arb strategies consume data and generate orders
- Study data pipeline design, testing and observability
- Practise system design interviews on data-intensive platforms
What to study
- Quantitative Data Engineering
- Quantitative Research, Data and Backtesting
- Statistical Arbitrage
- Trading Systems and Low-Latency Infrastructure
- Python for Quantitative Finance
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 DRW’s site before applying: requirements, location and pay can change after we check them.
View the posting on DRW’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with DRW and doesn’t handle applications.
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