More jobs:
Quantitative Researcher
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-09-14
Listing for:
Albert Bow
Full Time
position Listed on 2026-09-14
Job specializations:
-
Research/Development
Data Scientist -
IT/Tech
Data Scientist
Job Description & How to Apply Below
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 overviewWe 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
- 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
- Experience building or optimising low‑latency systems
- Familiarity with simulation frameworks and performance measurement in production
- 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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