Job Description
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 who are constantly striving to refine world class probability models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development.
As a Football Trader, you will monitor and manage betting markets, analyse live football data, and make decisions to optimize trading outcomes. This role combines a strong mathematical aptitude with a deep understanding of football dynamics. Prior trading experience is not required but will be considered a plus.
You will be expected to work over the weekend during football season and at least 2 evening shifts (finish past 10:30 pm).
This role will reward individuals who are curious, hungry for learning and value attention to detail.
Key Responsibilities
- Monitor football betting markets, track odds movements, and identify trading opportunities.
- Analyse live and historical football data to inform trading strategies.
- Adjust prices in response to market trends and real-time events (e.g., goals, injuries, substitutions).
- Collaborate with analysts to refine trading models and improve market predictions.
- Maintain focus and accuracy in high-pressure, fast-paced environments, particularly during live matches.
- Stay informed about football leagues, teams, players, and trends to gain a competitive edge.
Skills, Knowledge and Expertise
Essential:
- Strong mathematical background (degree in Mathematics, Statistics, Physics, Engineering, or a related field preferred).
- Comprehensive knowledge of football, including leagues, teams, and strategies.
- Strong analytical skills and attention to detail.
- Ability to make quick decisions under pressure.
- Proficiency in Microsoft Excel and/or basic data analysis tools.
Desirable:
- Experience with statistical programming languages (e.g., Python, R).
- Knowledge of betting markets or prior experience in a trading environment.
- Understanding of predictive modeling and probability theory.
- Passion for football analytics and/or sports betting.
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- Comprehensive training in trading strategies, market dynamics, and tools.
- Opportunities for career growth in a dynamic and exciting industry.
- A collaborative work environment surrounded by football enthusiasts and data experts.
- Flexible working hours, particularly during the football calendar.
- 25 days holiday per annum, plus UK bank holidays.
- Private health & dental insurance.
- Optical cover through Aviva.
- Pension plan.
- Gympass membership to over 1900 gyms and wellness businesses.
- Breakfast bought in everyday and lunch bought in twice a week
- Free coffee & snacks at the office.
- Regular team events & socials.
