Football Quant Trader β€” In-Play & Live Markets

Football Quant Trader β€” In-Play & Live Markets

Full-Time 54000 - 66000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Identify value signals and operationalise trading strategies in live football markets.
  • Company: White Swan Data, a dynamic company passionate about football and data.
  • Benefits: Flexible hours, growth opportunities, and a vibrant work culture.
  • Other info: Join a team that thrives on innovation and collaboration.
  • Why this job: Combine your love for football with cutting-edge quantitative analysis.
  • Qualifications: Strong programming skills in Python/R and knowledge of American football.

The predicted salary is between 54000 - 66000 Β£ per year.

White Swan Data in London, UK, is expanding its quant strategy team seeking quantitative analysts and traders to identify value signals, back test, and operationalize trading strategies with live risk management.

Candidates should demonstrate domain knowledge in American football and betting markets.

We value strong programming skills (Python/R) and a solid quantitative background.

The role offers flexible hours within a dynamic, football-loving data environment and opportunities for growth.

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Football Quant Trader β€” In-Play & Live Markets employer: White Swan Data

White Swan Data is an excellent employer for those looking to thrive in the dynamic world of betting operations. With a competitive salary, performance bonuses, and a collaborative work culture, employees are encouraged to grow and develop their skills in a supportive environment. Located in London, the company offers unique opportunities to engage with a diverse team while honing your analytical abilities in a fast-paced industry.

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Contact Details:

White Swan Data Recruitment Team

We think you need these skills to ace Football Quant Trader β€” In-Play & Live Markets

Quantitative Analysis
Back Testing
Risk Management
Domain Knowledge in American Football
Betting Markets Knowledge
Programming Skills (Python/R)
Operationalising Trading Strategies