Department: Operations
Location: London, UK
Compensation: £40,000 - £50,000 / year
Overview
White Swan Data is a small but rapidly growing team of mathematicians, data scientists and software engineers who are refining probability models and deploying new ones. Our work bridges three domains — iGaming, quantitative research and software development.
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.
Essential Skills, Knowledge and Expertise
* 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.
Seniority level
* Entry level
Employment type
* Full-time
Job function
* Finance and Sales
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