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Football Trader
Department: Operations
Employment Type: Full Time
Location: London, UK
Reporting To: Chris Mutombo
White Swan Data is a small but rapidly growing team of mathematicians, data scientists, and software engineers. We design, refine, and deploy world-class probability models across iGaming, quantitative research, and software development. This role requires a unique blend of analytical rigor and football expertise.
As a Football Trader, you will monitor and manage live betting markets, analyse football data, and execute trading decisions to optimise outcomes. No prior trading experience is required—though any background will be viewed positively.
You must be available for weekend work during football season and at least two evening shifts (finishing past 10:30 pm).
Our ideal candidate thrives in fast-paced environments, embraces continuous learning, and approaches problems with a sharp attention to detail.
Key Responsibilities
- Monitor football betting markets, track odds movements, and identify high-probability trading opportunities.
- Analyse live and historical football data to inform and refine trading strategies.
- Adjust prices in real-time to reflect market trends, key events (e.g., goals, injuries, or substitutions).
- Collaborate with analysts to improve model accuracy and forecasting techniques.
- Maintain mental focus and precision under pressure, particularly during live matches.
- Stay current on leagues, team dynamics, player performance, and transfer news to gain a competitive edge.
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Required Skills & Experience
Essential
- Strong mathematical background, preferably with a degree in Mathematics, Statistics, Physics, Engineering, or a related field.
- Comprehensive knowledge of football, including leagues, tactics, and recent trends.
- Exceptional analytical skills and attention to detail.
- Ability to make low-regret trading decisions under pressure.
- Proficient in Microsoft Excel or equivalent data analysis tools.
Desirable
- Experience with statistical programming (Python, R).
- Familiarity with betting markets or prior work in trading environments.
- An understanding of predictive modelling and probability concepts.
- A passion for football analytics or sports betting.
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Benefits
- Salary: Competitive, based on experience.
- Bonus: Annual discretionary performance bonus.
- Training: Comprehensive onboarding in trading models, market dynamics, and tools.
- Growth: Opportunities in an exciting, data-driven, football-focused industry.
- Team Culture: Collaborative, supportive environment with enthusiastic colleagues.
- Flexibility: Adaptable working hours during the football season.
- Holidays: 25 days per annum + UK bank holidays.
- Healthcare: Provided private health and dental insurance.
- Vision Cover: Optical benefits through Aviva.
- Wellbeing: Gympass membership (1900+ gyms globally).
- Perks:
- Breakfast bought in daily.
- Lunch subsidised two days a week.
- Free office coffee, snacks, and refreshments.
- Socials: Regular team events and social activities.
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