Build data foundation, transform raw data into pricing inputs
Research and develop pricing, market-making, and risk models across sports and non-sports
Model cross-market dependencies and portfolio effects for combinatorial products
Partner with traders to improve pricing logic and trading performance
Build backtesting, simulation, and model validation frameworks
Create tools to monitor model performance, P&L attribution, and live trading

🎯 Requirements

Strong quantitative background in statistics, math, ML, economics, or related field
Experience building models in trading, sports, betting, or prediction markets
Strong Python/data skills; own data pipelines and modeling
Ability to move from raw data to insights to production-ready code
High ownership and strong communication in a fast-paced growth environment

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