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.