Related skills
python pandas machine learning backtesting polars📋 Description
- Build and maintain research-to-production systems for rapid iteration.
- Design simulation and backtesting infra modeling latency and microstructure.
- Define and curate features across instruments, regimes, horizons.
- Own feature and signal pipelines from research to execution.
- Contribute to strategy optimization balancing performance with constraints.
- Debug end-to-end issues across research and execution.
🎯 Requirements
- 3-7 years in quantitative software development for trading.
- Python and C++ production experience; data workflows (pandas/polars).
- Strong stats, probability, and time-series analysis; backtesting familiarity.
- ML concepts for systematic strategies from research to production.
- Experience with low-latency systems is valuable.
- Able to work across research and engineering teams.
🎁 Benefits
- Discretionary bonus and benefits.
- Paid leave and health insurance.
- Collaborative, high-performance culture.
- Global offices and career growth.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!