Trader, Trading - Equity ​/ Derivatives ​/ Quantitative, Financial Advisor ​/ Consultant

Quantitative Sports Trader – European & Asian Markets

Location:

Europe (working hours aligned with European and Asian sporting markets)

2-8 years

Python and/or C#

Sports pricing, prediction markets, betting exchanges, in-play trading

Quantitative Sports Trader opportunity with a specialist sports pricing and trading business applying quantitative modelling, trading and risk management techniques to sports markets.

The team is expanding its European and Asian market coverage, with a focus on pricing and trading sports events across pre-match and in-play markets. The successful candidate will combine statistical modelling, market analysis and commercial decision-making to identify opportunities and manage risk.

The role sits between a sports book trader, quantitative researcher and financial-market trader. The successful candidate will help price and trade European and Asian sporting markets, improve models and develop the systems used to manage live exposure.

• Price pre-match and in-play sports markets using quantitative models and market information.
• Develop and improve probabilistic pricing models.
• Identify mispriced markets and trading opportunities across sports books, exchanges and prediction markets.
• Manage positions, limits, correlations and event-level exposure.
• Monitor live events and react to new information.
• Analyse historical results, model performance and calibration.
• Automate and improve repeatable parts of the pricing and trading process.
• Work closely with researchers and developers to improve data, execution and risk systems.
• Provide trading coverage across European and Asian sporting hours.

The strongest candidates will typically have:

• Experience with in a sports book trading team, betting exchange, prediction market or sports trading environment.
• Experience pricing or trading sports markets, either pre-match or in-play.
• Strong probability, statistical reasoning and quantitative modelling skills.
• Understanding of odds, implied probability and expected value.
• Experience managing exposure, limits or commercial risk.
• Python, C# or comparable programming experience.
• Ability to distinguish model accuracy from trading profitability.
• Interest in building and improving trading processes rather than simply operating existing systems.

Candidates from quantitative sports book teams, sports market-making businesses, prediction markets, sports-data providers or quantitative trading environments with direct sports exposure may be highly relevant.