Football Quant Trader: Live Markets & Strategy in London

Football Quant Trader: Live Markets & Strategy in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
White Swan Data

At a Glance

  • Tasks: Identify value signals and develop innovative trading strategies for American Football.
  • Company: Join White Swan Data, a leader in sports analytics and quantitative trading.
  • Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
  • Other info: Fast-paced environment with a focus on data-driven decision making.
  • Why this job: Make an impact in the exciting world of football trading and analytics.
  • Qualifications: Strong analytical skills and experience in quantitative trading or finance.

The predicted salary is between 60000 - 80000 Β£ per year.

White Swan Data is seeking a Quantitative Trading Specialist to expand a successful American Football quant strategy in London.

You will identify value signals, develop strategies, back test them and operationalise live trading workflows.

The role requires delivering and improving pricing models, risk controls and data-driven decision making in a fast-paced environment with football analytics at the core.

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Football Quant Trader: Live Markets & Strategy in London 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.

White Swan Data

Contact Details:

White Swan Data Recruitment Team

We think you need these skills to ace Football Quant Trader: Live Markets & Strategy in London

Quantitative Analysis
Strategy Development
Backtesting
Operationalisation of Trading Workflows
Pricing Models
Risk Management
Data-Driven Decision Making