Football Quant Analyst — Predictive Modelling & Impact

Smartodds; City Of London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

30 days holiday

In-house chef

In-house masseuse

Brentford FC 20% discount

Cycle to work scheme

Employee Assistance Programme

Private Medical Insurance

Job summary

Smartodds is hiring a Quantitative Analyst - Football in North London. You will build and deploy predictive models for football outcomes, combining rigorous statistics with production-grade code in a collaborative setting.

The role emphasizes reproducible research, high test coverage, and ongoing professional development within a supportive, open culture. Applicants with strong research experience in football analytics are invited to apply.

Qualifications

• MSc in Statistics or a related field with 3+ years of practical work experience.
• PhD or equivalent in Statistics or related field is desirable.
• Candidates from adjacent fields with solid applied statistics experience welcome.

Responsibilities

• Extend predictive models for football and develop new ones for clients.
• Own and deliver research projects with regular updates.
• Review work and code within the team to ensure quality.
• Develop and maintain software supporting model predictions and libraries.
• Participate in research talks, reviews, and knowledge sharing.
• Attend at least one event per year for professional development.

Skills

Statistical modelling

Model diagnostics

R or Python programming

Written communication

Autonomous work

Bayesian methods

Education

MSc in Statistics

PhD in Statistics

Tools

R

Python

SQL

Git

Job description

Smartodds is hiring a Quantitative Analyst - Football in North London. You will build and deploy predictive models for football outcomes, combining rigorous statistics with production-grade code in a collaborative setting.

The role emphasizes reproducible research, high test coverage, and ongoing professional development within a supportive, open culture. Applicants with strong research experience in football analytics are invited to apply.