REF: 980Mid-LevelPermanent

Quantitative Developer – Alpha Signal Implementation | Systematic Hedge Fund | London

London, UK£95,000 – £145,000 base + bonus (35–85% of base)
Equity QuantTechnology / Quant DevHedge FundsDerivatives QuantData Science & Alternative DataQuantitative ResearchSystematic Trading

Role Overview

A systematic hedge fund with a multi-billion dollar AUM is seeking a Quantitative Developer to be the bridge between quant researchers and live trading. You will take raw research signals, from price momentum through to ML-derived factors — and build them into production-quality, live-trading strategies. Candidates who can code at research speed without sacrificing production robustness are extremely rare and extremely well paid in this market.

Why This Role Matters:

Researchers generate ideas. Traders need live strategies. You are the person who makes that happen — fast, correctly, and robustly. The best quant developers at hedge funds often earn more than the researchers they support, because flawless implementation is where alpha is preserved or lost.

Key Responsibilities:

• Translate quant research prototypes (Python/R/Matlab) into production trading systems

• Build and maintain signal calculation engines, factor libraries, and portfolio construction pipelines

• Develop robust backtesting and simulation frameworks with rigorous statistical validation

• Implement position sizing, risk controls, and execution logic for live strategies

• Optimise performance-critical research and execution code in Python and C++

• Collaborate daily with quant researchers and portfolio managers

• Build data pipelines for market, fundamental, and alternative data

• Maintain production systems with high reliability and low operational risk

Required Experience & Qualifications:

• 3–8 years of quantitative development experience in a systematic trading or investment context

• Expert Python skills; C++ experience strongly preferred

• Experience building production backtesting or live trading systems

• Solid understanding of quantitative finance: factors, signals, portfolio construction, risk

• Experience with financial data: equities, futures, options, tick data

• Strong software engineering fundamentals: testing, version control, code review

• Master's or PhD in Computer Science, Mathematics, Physics, or Engineering preferred

Compensation:

• Highly competitive base salary with substantial discretionary bonus

• Direct financial alignment with the performance of the strategies you build

Interested in this role?

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