Albert Bow
Quantitative Researcher
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Quantitative Researcher | HFT | Crypto | London £250k + PnL
We are a fast-growing, venture-backed technology firm focused on building trading and liquidity solutions across multiple markets. We operate in a collaborative, flat start up environment that values technical excellence, initiative, and practical impact.
Role overview
We are looking for a Quantitative Researcher with strong analytical and programming skills and a passion for systematic research and market microstructure. You will contribute to the development of trading strategies and research infrastructure, working closely with a small technical team. The role offers early responsibility and the opportunity to shape long-term research direction.
Key responsibilities
- Research and implement trading and pricing strategies, including high-frequency approaches
- Analyse large datasets to discover statistical trading opportunities and validate models
- Develop and improve simulation and backtesting frameworks to better match live performance
- Translate mathematical models into robust production code in collaboration with engineers
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Required qualifications & skills
- Advanced degree (MSc/PhD) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a similar quantitative field
- Strong research skills and experience applying mathematical and statistical tools to real-world problems
- ~3+ years of hands-on experience analysing empirical data in a scientific manner
- Proficient in Python; strong experience in at least one compiled language (Rust, C++, Go, etc.)
- Comfortable with Linux/Unix, cloud environments (e.g., AWS), Git and containerisation (Docker)
- Prior exposure to market microstructure or trading research is preferred
- Entrepreneurial mindset, proactive problem-solver, and effective collaborator
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Desirable
- Experience building or optimising low-latency systems
- Familiarity with simulation frameworks and performance measurement in production
What we offer!
- Competitive compensation: £250k + PnL + equity.
- Fast-paced, collaborative environment with ownership of research through deployment.
- Access to high-quality market data and state-of-the-art infrastructure.
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