Lead Quantitative Analyst – Sports & Esports Trading
Location: London (Hybrid – 3 days per week in the office)
Contract: Full-time
Reporting to: Head of Sports Trading
Salary: £70,000–£80,000 dependent on experience, plus excellent benefits
Overview
I am seeking a Lead Quantitative Analyst to join a growing trading team, with a focus on sports and esports markets. This is a high-impact role where you will design and develop pricing models and algorithms that directly influence trading performance.
Key Responsibilities
- Model Development: Design, test, and refine sophisticated pricing models for sports and esports betting.
- Trading Support: Provide analytical insights to optimise trading strategies and performance.
- Data Innovation: Incorporate in-play data, customer behaviour, and live liabilities into pricing models.
- Machine Learning: Apply advanced ML methods to improve model precision and scalability.
- Collaboration: Partner with developers, product managers, and analysts to deliver production-ready models.
- Documentation & Communication: Produce clear documentation and communicate insights across teams.
- Leadership: Mentor junior analysts and contribute to knowledge sharing within the team.
Essential Skills & Experience
- Degree in Mathematics, Statistics, Computer Science, Physics, or Engineering.
- Significant experience as a Quantitative Analyst in the sports betting industry.
- Strong proficiency in Python, R, Java and/or C#.
- In-depth knowledge of sports analytics and machine learning techniques.
- Strong problem-solving and communication skills.
- Experience managing code across development environments and deploying into production.
Desirable Skills & Experience
- Experience modelling American Football, Basketball, Soccer, or Baseball.
- Familiarity with agile development methodologies and cloud-based systems.
- Knowledge of Bayesian statistics and Game Theory.
- Demonstrated leadership and mentoring experience.