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# Senior Software Engineer, Trading Team

- **Company:** DRW
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £65,678.0
- **Contract:** Permanent contract
- **Skills:** Backtesting, Software Engineering, Data Ingestion, Data Pipelines
- **Published:** July 24, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5810682118

## About the Role

* 5+ years of hands-on software engineering experience designing, building and operating systems with high complexity.
 * Prior experience in equity stat-arb in a hedge fund, prop trading or systematic trading environment is strongly preferred.
 * Familiarity with the end-to-end systematic trading stack, including data, research, back testing, execution, monitoring, and post-trade analysis.
 * Strong system design skills and sound engineering judgment.
 * High standards for correctness, reliability, testing, observability, and maintainability

## Description

We are seeking a Senior Software Engineer to design, build, and operate research and production infrastructure for mid-frequency equity statistical arbitrage strategies.

This is a hands-on engineering role with ownership across the full trading stack, including data ingestion, research tooling, back testing, production strategy deployment, execution integration, real-time monitoring, diagnostics, and post-trade analysis.

The ideal candidate has experience building end-to-end systematic trading systems in a hedge fund or proprietary trading environment. We are also highly interested in strong software engineers from technology companies or adjacent domains who have built complex, data-intensive systems with high standards for correctness, reliability, scalability, and long-term maintainability.
Responsibilities

 * Architect, implement, and maintain production infrastructure for systematic trading strategies
 * Build and optimize large-scale data pipelines for research and production use
 * Develop and maintain research, simulation, and back testing platforms
 * Integrate trading strategies with execution systems and support live trading workflows
 * Build tooling for real-time monitoring, diagnostics, performance attribution, and post-trade analysis
 * Improve system design, scalability, observability, operational resilience, and maintainability


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