Football Trader / Odds Compiler

What the role involves

• Price match and player markets with models
• Monitor markets and manage risk during live games
• Follow responsible-gambling and regulatory rules

Ways in, with or without formal qualifications

Experience, knowledge and interests count in football. These routes are what people in this role commonly point to.

• Self-built

  Build a public football data portfolio

  Use open and public football data to produce analysis, models and visualisations that you can show. A well-explained project proves skill without any certificate.

• Experience

  Software, data or product background

  Football tech companies and clubs hire developers, data engineers and product managers who then learn the game.

Qualifications and licences

Employers commonly ask for one or more of these.

• Degree

  Degree in Any Subject

  Many football employers ask for a degree in any subject as a screening requirement for graduate-level jobs. The subject matters less than evidence of skills and football involvement.

• Short course

  Data & Analytics Courses (SQL, Python, Machine Learning)

  Short courses and certificates in data skills. Their value comes from the projects you complete with them, especially football-based projects.

Skills and knowledge

• Statistics & Modelling
• Event Data Analysis
• Football Knowledge & Culture
• Resilience & Adaptability

Tools you may use

• Python
• Spreadsheets
• Event-data providers

Where this role is found

• Data & analytics companies

Where this role leads

• Football Data Scientist

  Strongly preferred

  Builds models to support recruitment, performance and injury decisions.

Common stepping stones into this role

Usually an entry point reached directly through study, volunteering, playing or work experience. See the routes below.

Pay and context by region

Illustrative estimates scaled from a UK baseline. Check local job adverts and union or association data.