Job Description
Do you want to build models that 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: £100,000 – £150,000 + 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.