Football Trader
London, UK
White Swan Data
Football Trader
This role will reward individuals who are curious, hungry for learning and value attention to detail.
Department: Engineering
Employment Type: Full Time
Location: London, UK
Description
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.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.
- Experience with statistical programming languages (e.g., Python, R).
- Knowledge of betting markets or prior experience in a trading environment.
- Understanding of predictive modelling and probability theory.
- Passion for football analytics and/or sports betting.
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- 25 days holiday per annum, plus UK bank holidays.
- 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.
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Data analysis Engineering Excel Mathematics Physics Probability theory Python R Statistics Trading Strategies
Perks/benefits: Career development Competitive pay Fitness / gym Flex hours Flex vacation Health care Salary bonus Team events
Region:
Europe
Country:
United Kingdom
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