- New York, New York, United States
- On-site
- Full-time
- $175K–$250K per year
- 2+ years
Design and build the core research and trading platform, including data pipelines, backtesting and simulation frameworks, portfolio and execution tooling, and research APIs
Compensation
The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.
Responsibilities
- Design and build the core research and trading platform, including data pipelines, backtesting and simulation frameworks, portfolio and execution tooling, and research APIs
- Work closely with quantitative researchers to implement studies, test hypotheses, and translate promising ideas into robust production systems
- Develop and productionize statistical and machine learning models, owning the workflow from feature generation and training through backtesting, deployment, and live monitoring
- Build reliable data infrastructure for large historical and real-time datasets, with an emphasis on point-in-time correctness, reproducibility, performance, and ease of use
- Improve the performance and scalability of computationally intensive research and production workloads
Requirements
- Bachelor's in Computer Science
- Master's in Computer Science
- PhD in Computer Science
- Nice to have: deep learning
- Nice to have: GPU computing