Quantitative Researcher (Prediction Markets)
- Hiring from
- United Kingdom
- Work type
- Remote
- Posted
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Senior Quantitative Researcher
Fully Remote | Perm or Contract - Outside IR35 | Greenfield Prediction Markets Platform
We're building a new prediction markets exchange, backed by eight figures of private investment and targeting launch in early 2027.
With the core technical team already taking shape, we're now looking for an experienced Quantitative Researcher specialising in sports pricing and trading.
You'll have the opportunity to build the pricing models that underpin a new automated market-making operation, working directly with engineers developing the trading infrastructure.
This is a chance to own the research, modelling and validation process from the beginning, with your work directly influencing how live markets are priced and risk is managed.
What you'll be working on
- Developing statistical pricing models for pre-match and in-play sports markets.
- Deriving fair probabilities from bookmaker and exchange prices.
- Building and calibrating models using historical sports prices and results.
- Backtesting trading strategies, pricing accuracy and market-making approaches.
- Modelling liabilities, exposure and trading risk.
- Working with engineers to turn quantitative research into production trading systems.
What we're looking for
- 5+ years in quantitative research, including 3+ years in sports betting, betting exchanges or sports trading.
- Strong probability, statistics and mathematical modelling expertise.
- Experience with Poisson, Dixon-Coles, Bayesian methods, Elo or similar sports pricing models.
- Strong understanding of odds, overround, market-implied probabilities and pricing.
- Expert Python (NumPy, SciPy, pandas/Polars) and advanced SQL.
- Experience with rigorous backtesting, calibration and production model deployment.
Why consider it?
You'll have genuine ownership of the quantitative foundations of a new trading platform, with substantial private backing, an experienced technical team and the freedom to build models from the ground up.
If you've built sports pricing models used in live trading environments, I'd be keen to speak.
Get in touch for a confidential conversation.
