7 months ago
New York, NY, 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 delivering consistent data from research to 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 experience in quantitative software development, preferably at a trading firm or systematic fund
- Strong production experience with Python and C++
- Experience with data analysis workflows using pandas, polars, or similar tools
- Strong grounding in probability, statistics, and time series analysis
- Familiarity with backtesting and simulation frameworks
- Understanding of machine learning concepts as applied to systematic strategies from research through production
- Experience with low-latency systems is valuable
Benefits
- Discretionary bonus eligibility for full-time, permanent positions
- Paid leave and insurance