🚀 Quantitative Analyst - Sports Markets

Do you want to build models that actually get used in the real world?

Have you ever applied your maths to beat complex, high-stakes prediction problems?

Are you ready to join a high-performing team trading in global sports markets?

Join a City-based investment firm using advanced statistics and data science to model sporting outcomes. With a lean team and flat structure, you’ll own your work end-to-end — from research through to production — in an environment that values rigour, creativity, and impact.

This is a chance to work directly with traders and researchers in a collaborative, non-corporate setup where your code and ideas will shape the future of their trading strategies.

The Role

• Build predictive models for sports outcomes (e.g. football, cricket, tennis)
• Analyse real-world data using advanced stats and probabilistic reasoning
• Work cross-functionally with trading and software teams
• Deploy models that directly inform trading decisions globally

What They're Looking For

• MSc or PhD in a quantitative/STEM field (Maths, Stats, Physics, Engineering)
• 5–10 years’ experience in data/quant-focused roles
• Strong coding in Python (R and MATLAB welcome; C# desirable)
• Solid understanding of statistics and probability
• Professional experience working with messy, real-world datasets
• Interest in sports (trading background not required)

Key Details

• Salary: £70,000 – £130,000 + bonus (10–20%, paid twice yearly)
• Location: Central London – 5 days onsite
• Visa: Sponsorship available
• Benefits: Health insurance, pension, gym access during working hours, team outings, flat structure, high autonomy

Interested? Please apply below.