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Albert Bow1 day ago

Quantitative Developer

Hybrid · London, England, United Kingdom

Type
Full Time
Level
Senior Level
Education
Bachelors Degree
Company size
Small

Job Summary

Develop internal Python libraries and tools for systematic research and signal testing; extend and maintain the team’s simulation and backtesting environment; monitor, debug, and maintain distributed research workflows; collaborate closely with quants to iterate on alpha and model hypotheses; support EMEA research coordination with teams globally.

Required Qualifications

  • 5+ years of professional Python development experience
  • Strong knowledge of Python data libraries (NumPy, Pandas, Polars)
  • Hands-on experience in research infra, analytics tooling, or simulation frameworks
  • Background in Equities or Equity Derivatives trading
  • Bachelor's or Master’s in Computer Science, Engineering, or a quantitative discipline
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Albert Bow

Quantitative Developer

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