Football Trader
Description
The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure. The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.
Responsibilities
- Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
- Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
- Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
- Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
- Ensure markets remain competitive while maintaining profitable margins
- Monitor trading tools and feeds to maintain accurate and timely market updates
- Active collaboration with Risk teams when necessary
- Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
- Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality
Requirements
- Strong knowledge and passion for football, including major leagues and competitions
- Experience in sportsbook trading and betting operations
- Ability to make fast, accurate decisions under pressure
- Solid understanding of probability, odds calculation, and betting markets
- Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
- Ability to work shifts including evenings, weekends, and major football events
## Desirable Qualifications
- Degree in Mathematics, Statistics, Economics, Data Science, or a related field
- Previous experience with in-play trading systems or automated trading tools
- Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)
