about 20 hours ago
Chicago, IL, USAMid Level / Senior
Base Salary
$200k - $225k/yr
Responsibilities
- Build and maintain systems that span research and production.
- Design high-fidelity simulation and backtesting infrastructure.
- Define, compute, and curate features across instruments and time horizons.
- Own feature and signal pipelines for clean delivery from research to execution.
- Contribute to strategy optimization balancing performance with constraints.
- Debug issues end-to-end across research and execution.
Requirements
- 3-7 years of experience in quantitative software development.
- Strong production experience in Python, including data analysis workflows.
- Grounding in probability, statistics, and time series analysis.
- Familiarity with backtesting and simulation frameworks.
- Solid understanding of ML concepts applied to systematic strategies.
- Experience with low-latency systems is valuable.
- Ability to work fluidly across research and engineering teams.
Benefits
- Discretionary bonus and benefits including paid leave and insurance.