Senior Quantitative Strategist (City of London)

Senior Quantitative Strategist

(Research-Oriented)

About the Role

We’re looking for a Quantitative Strategist to join our team and help shape the research behind our trading strategies. You’ll work at the intersection of data, modelling, and execution – identifying opportunities, analysing patterns, and building signals that translate into real-world performance. This is a core role driving what we trade and why, and you’ll collaborate closely with engineers and product owners to bring ideas to life.

Key Responsibilities

• Design and test quantitative trading strategies across asset classes (crypto, equities etc.)
• Analyse large datasets to extract meaningful signals and develop robust hypotheses
• Collaborate with engineers to implement, backtest, and refine strategies
• Monitor strategy performance and adapt to evolving market conditions
• Work closely with Quant Developers and AI/LLM teams on systematic research workflows

Required Skills

• Strong background in statistics, mathematics, econometrics or related field
• Hands-on experience developing and validating trading strategies
• Proficient in Python and data science libraries (pandas, NumPy, scikit-learn)
• Familiarity with backtesting frameworks and time-series modelling
• Comfortable working in fast-paced, research-driven environments

Bonus Points

• Experience in crypto or digital asset markets
• Exposure to LLMs or AI-powered research tools
• Understanding of market microstructure and trading infrastructure