Overview
We are seeking a Senior Quantitative Researcher specializing in sports pricing and trading for a fully remote and newly established prediction markets platform. In this role, you will develop and validate statistical pricing models that will influence live market pricing and risk management. You will collaborate closely with engineers to implement your quantitative research into production systems, taking ownership of the research and modeling process from the ground up.
Responsibilities
- Develop statistical pricing models for pre-match and in-play sports markets.
- Derive fair probabilities from bookmaker and exchange prices.
- Build and calibrate models using historical sports prices and results.
- Backtest trading strategies, pricing accuracy and market-making approaches.
- Model liabilities, exposure and trading risk.
- Collaborate with engineers to turn quantitative research into production trading systems.
Requirements
- 5+ years in quantitative research, including 3+ years in sports betting, betting exchanges or sports trading.
- Strong expertise in probability, statistics and mathematical modeling.
- Experience with Poisson, Dixon-Coles, Bayesian methods, Elo or similar sports pricing models.
- Strong understanding of odds, overround, market-implied probabilities and pricing.
- Expert in Python (NumPy, SciPy, pandas/Polars) and advanced SQL.
- Experience with rigorous backtesting, calibration and production model deployment.