Quantitative Analyst

Oakwell Hampton

London

6 months ago

Applications closed

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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.

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