Role - Quant Analyst (Sports)
Location - London (Hybrid)
Salary - £70k - £100k (DOE)
We're looking for a Sports Quantitative Analyst to join our London-based team and drive high-impact modelling across sport, performance, and commercial strategy.
This is a rare opportunity for someone with a background in mathematics, statistics to apply machine learning to challenges like player evaluation, match prediction, transfer valuation, and commercial forecasting—with growing focus on biomechanics and body movement data.
You’ll work across domains—performance, finance, and strategy—alongside experts in data, sport, and investment. If you thrive at the intersection of applied maths, predictive modelling, and real-world decision-making—we want to hear from you.
This is a flexible hybrid role, based in London with autonomy over your schedule.
What’s in it for you?
🧠 Real-World Impact – Your models will shape key decisions in talent, performance, and commercial investments.
⚙️ Modern Stack – Python, Google Cloud, and leading ML libraries.
📊 Multidimensional Scope – Player metrics, transfer fees, performance data, and financial projections.
🌍 Hybrid Flexibility – Mix of remote work and in-person collaboration in central London.
📈 Long-Term Upside – Strong progression.
What We’re Looking For:
* 1–4 years in a quantitative role.
* Strong academic background in maths, statistics or similar.
* Proven experience applying machine learning to real-world data.
* Proficiency in Python, plus experience with cloud-based tools like Google Cloud.
* Strong communicator with a commercial mindset and analytical skills.
If you're ready to apply your skills at the intersection of sport, data, and business—we’d love to hear from you.
Apply now and help shape the next era of performance and commercial intelligence.