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python pandas machine learning simulation backtesting📋 Description
- Build and maintain systems spanning research and production for rapid iteration
- Design high-fidelity simulation and backtesting infrastructure modeling latency and microstructure
- Define and curate features across instruments, regimes, and time horizons
- Own feature and signal pipelines for clean delivery from research to execution
- Contribute to strategy optimization, balancing performance with real-world constraints
- Debug end-to-end issues across research and execution
🎯 Requirements
- 3-7 years in quantitative software development, preferably at a trading firm
- Strong Python production experience, incl. data analysis workflows (pandas, polars)
- Strong grounding in probability, statistics, and time-series analysis; familiarity with backtesting
- Solid ML concepts for systematic strategies from research to production
- Experience with low-latency systems is valuable
- Ability to work across research and engineering teams
🎁 Benefits
- Discretionary bonus
- Benefits including paid leave and insurance
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