TL;DR
Python Quantitative Developer (Fintech): Developing and maintaining simulation and backtesting infrastructure for systematic trading strategies with an accent on research tooling and data-heavy workflows. Focus on building high-performance Python libraries, collaborating directly with quantitative researchers, and optimizing signal testing frameworks.
Location: Hybrid setup in London
Salary: Up to £160,000
Company
An executive search partner specializing in high-frequency trading and quantitative finance recruitment.
What you will do
- Develop internal Python libraries for systematic research and signal testing.
- Extend and optimize the team’s simulation and backtesting simulation environments.
- Monitor and maintain distributed research workflows.
- Collaborate with quants to iterate on alpha model hypotheses.
- Support global research coordination between EMEA and international teams.
Requirements
- 5+ years of professional Python development experience.
- Strong expertise with Python data libraries including NumPy, Pandas, and Polars.
- Hands-on experience with research infrastructure, analytics tooling, or simulation frameworks.
- Background in Equities or Equity Derivatives trading.
- Solid understanding of model lifecycles and strategy deployment workflows.
Nice to have
- Experience in C++ development.
- Proficiency in Bash scripting.
- Knowledge of job orchestration tools.
Culture & Benefits
- High-impact role within a front-office quantitative trading team.
- Discretionary bonus scheme.
- Opportunity for long-term career growth and internal mobility.
- Collaboration in a fast-paced environment with minimal bureaucracy.
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