Quantitative Analyst (Multiple positions available)

Location:North London (Hybrid – 1 day per week in-office, with flexibility)

Salary:£55,000-£100,000+ and Benefits & Bonus

Sponsorship is Available

Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.

Join a forward-thinking organisation renowned for delivering world-class predictive models and innovative software across global sports. This is an opportunity to apply your quantitative expertise in a fast-paced environment where your models can directly impact real-world outcomes in a range of sports including football (soccer), American Football, baseball, basketball, and more.

A pioneer in data-driven research, collaborating with experts to push the boundaries of sports analytics and betting strategies.

Key Responsibilities:

• Design and develop predictive models for one or more US or Global sports
• Collaborate with execution teams to research and deploy automated betting algorithms for market exchanges, owning your models from concept to deployment.
• Contribute to research discussions, enhancing existing models and identifying new opportunities for improvement.
• Mentor junior analysts, offering guidance and constructive feedback to enhance their development.
• Maintain and develop the software infrastructure that powers predictive models and mathematical tools.

Skills & Experience:

• MSc in mathematics, computer science, or a related field.
• PhD or equivalent experience of 2+ years in a similar quantitative role.
• Programming skills in Python, R, C++, or Julia.
• Expertise in probabilistic and statistical modelling, Bayesian models, or machine learning techniques.
• Experience with automated trading systems, deep learning, reinforcement learning, or dynamic optimisation.
• Ability to clearly communicate complex results to both technical and non-technical stakeholders.

Nice to have but not essential:

• Passion for sports like football, American football, baseball, basketball, cricket, tennis, or ice hockey.
• Strong foundation in computational statistics, feature engineering, and optimal control techniques.

This role offers a unique chance to shape the future of sports analytics, with the autonomy to bring your ideas to life and see immediate results in a high-stakes, fast-feedback environment.