full-time
Quant Engineer
Digital Waffle
- Employer
- Digital Waffle
- Location
- New York
- Working pattern
- on-site
- Salary
- $180,000–$300,000 / year
About the role
Build and maintain high-performance data pipelines, backtesting and simulation infrastructure, and production execution and signal-processing systems for quantitative strategies. Partner with researchers to implement and productionize models while ensuring data quality, timing, and reproducibility across the research-to-production lifecycle. Requires strong production Python and SQL skills, experience building quant, trading, or other numerically intensive data, backtesting, or execution infrastructure, and familiarity with time-series data issues such as survivorship bias and lookahead bias. Candidates should bring performance-sensitive engineering experience, fluency with modern AI tools, high autonomy, and willingness to work in person five days per week; C++ or Rust and relevant quant or market-data platform experience are advantageous.