3 months ago
Chicago, IL, USAMid Level / Senior
Base Salary
$200k - $225k/yr
Responsibilities
- Build and maintain systems spanning quantitative research and production
- Design high-fidelity simulation and backtesting infrastructure modeling latency, microstructure, and real-world constraints
- Define, compute, and curate features across instruments, regimes, and time horizons
- Own feature and signal pipelines from research through execution
- Contribute to strategy optimization while balancing expected performance with real-world constraints
- Debug issues end-to-end across research and execution
Requirements
- 3–7 years of quantitative software development experience, preferably at a trading firm or systematic fund
- Strong production experience in Python, including data analysis workflows using pandas, polars, or similar tools
- Strong grounding in probability, statistics, and time series analysis
- Familiarity with backtesting and simulation frameworks
- Solid understanding of machine learning concepts applied to systematic strategies from research through production
- Experience with low-latency systems is valuable
- Ability to work across research and engineering teams
Benefits
- Discretionary bonus eligibility for full-time permanent employees
- Paid leave
- Insurance