Related skills
economics python machine learning statistics data pipelines📋 Description
- Build data foundation for pricing inputs
- Develop pricing, market-making, and risk models
- Model cross-market dependencies and parlays
- Collaborate with traders to improve pricing and coverage
- Build backtesting, simulation, and validation frameworks
- Create tools to monitor model performance and P&L
🎯 Requirements
- Strong quantitative background in statistics, math, ML, economics
- Experience building models in trading, sports, betting, prediction markets
- Strong Python and data skills, data pipelines and modeling
- Ability to move quickly from raw data to research insight to production
- High ownership, strong communication in fast-paced high growth environment
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