Source description
About the role
Build data foundation, transform raw data into pricing inputs
Research and develop quantitative pricing, market-making, and risk models across sports, non-sports, player props, parlays, and correlated markets
Model cross-market dependencies, correlations, and portfolio effects, especially for combinatorial products such as parlays
Partner closely with traders to improve pricing logic, market coverage, and trading performance
Build frameworks for backtesting, simulation, and model validation
Create tools to monitor model performance, calibration, P&L attribution, and live trading outcomes
Help define the tooling, workflow, and research standards for a new team
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