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# Senior Software Engineer - Quantitative Trading Systems - Bleubox

- **Company:** Chaos Theory Labs
- **Location:** UK
- **Experience:** Expert
- **Salary:** £90,000.0 - £120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithmic Trading, C++ (Programming Language), Commercial Software, Software Engineering, Information Technology, Programming Languages
- **Published:** September 25, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-software-engineer-quantitative-trading-systems-bleubox/57390476

## About the Role

Minimum 5 years of commercial software engineering experience; expert knowledge of C++; meaningful experience in quantitative trading, financial markets or institutional trading technology; production-oriented mindset with ability to understand financial and operational consequences of system behaviour; capability to diagnose and resolve complex trading infrastructure issues., A degree or equivalent practical experience in Computer Science, Mathematics, Quantitative Finance, Physics, Engineering, Data Science or another relevant quantitative discipline; proficiency in additional programming languages.

## Description

Join Chaos Theory Labs as a Senior Software Engineer to design, build and operate systematic trading systems. This role combines production-level software engineering expertise with deep knowledge of quantitative trading, financial markets and institutional trading technology. You will bridge research, backtesting, execution and risk controls, ensuring that trading systems are not only technically sound but also financially and operationally safe when placing leveraged orders in live markets., You will report to the Head of Artificial Intelligence and work closely with trading, quantitative and engineering colleagues to take systematic trading capabilities from research and UAT into robust live operation., Design and implement core trading infrastructure with meaningful influence over architecture and engineering standards; work across research, backtesting, broker connectivity, market data, execution and production infrastructure; own critical components end-to-end; engage directly with brokers and technical counterparties; challenge backtests and reason about market and execution risk; diagnose FIX and broker-integration issues; write maintainable, thoroughly tested software; improve the safety, reliability and performance of the trading stack.


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