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.
Extra information
- Status
- Open
- Education Level
- Secondary School
- Location
- City of London
- Type of Contract
- Full-time jobs
- Published at
- 01-03-2026
- Profession type
- Accountancy
- Full UK/EU driving license preferred
- No
- Car Preferred
- No
- Must be eligible to work in the EU
- No
- Cover Letter Required
- No
- Languages
- English
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