Quantitative Researcher - Prediction Markets
You design sports data capture pipelines, develop and calibrate pricing models using historical data, build internal research tools, and work with trading and development teams to deploy models into production strategies.
Responsibilities
- Design and develop data capture pipelines for sports contracts
- Develop and calibrate pricing models using historical data
- Build and maintain internal research pipeline tools
- Work with trading and development teams to deploy models into production trading strategies
Requirements
- Bachelor’s, Master’s, or PhD in Engineering, Computer Science, Mathematics, Physics, or a related technical field
- Proficient Python programming skills
- 2+ years of experience in a quantitative or programming role
- Deep understanding of linear algebra, numerical methods, statistics, optimization, and machine learning
- Strong interest in sports and quantitative modeling
Benefits
- Employer-paid medical insurance
- Dental insurance
- Vision insurance
- Retirement contributions
- Paid time off
- Discretionary performance bonus