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Quantitative Researcher

Albert Bow · London Area, United Kingdom

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Quantitative Researcher | HFT | Crypto | London £250k + PnLWe 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 responsibilitiesResearch and implement trading and pricing strategies, including high-frequency approachesAnalyse large datasets to discover statistical trading opportunities and validate modelsDevelop and improve simulation and backtesting frameworks to better match live performanceTranslate mathematical models into robust production code in collaboration with engineersRequired qualifications & skillsAdvanced degree (MSc/PhD) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a similar quantitative fieldStrong 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 mannerProficient 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 preferredEntrepreneurial mindset, proactive problem-solver, and effective collaboratorDesirableExperience building or optimising low-latency systemsFamiliarity with simulation frameworks and performance measurement in productionWhat 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.