Senior Software Engineer - Trading Infrastructure & Research

Tradermath; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

DRW seeks 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 role covering data ingestion, research tooling, back testing, production deployment, and live execution integration.

The ideal candidate will have end‑to‑end trading system experience in hedge funds or prop trading, with emphasis on correctness, reliability, and scalable maintainability.

Qualifications

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

Skills

System design

Data pipelines

Backtesting

Production systems

Distributed systems

Python

C++

Go

Tools

Python

C++

Go

Job description

DRW seeks 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 role covering data ingestion, research tooling, back testing, production deployment, and live execution integration.

The ideal candidate will have end‑to‑end trading system experience in hedge funds or prop trading, with emphasis on correctness, reliability, and scalable maintainability.