Cricket Quant Analyst

Harrington Starr; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading sports analytics firm in London is seeking a Cricket Quantitative Analyst to develop predictive models for cricket and engage in sports analytics. The ideal candidate has an MSc or PhD in a relevant field and strong experience in statistical modelling, along with programming skills in Python or R. This role offers the opportunity to work in a collaborative environment where you take ownership of your models and contribute to professional development through training and conferences.

Qualifications

• Demonstrable experience in statistical/probabilistic modelling.
• Ability to communicate results to both technical and non-technical stakeholders.
• Interest in sports analytics, focusing on cricket.

Responsibilities

• Develop and deploy predictive models for cricket.
• Collaborate with a quant team in a fast-paced environment.
• Take ownership of models from idea to code and production.
• Support professional development through various programs.

Skills

Statistical modelling

Programming in Python

Programming in R

Communication skills

Education

MSc or PhD in Statistics, Mathematics, or Data Science

Job description

Cricket Quant

London

I’m partnering with a leading sports analytics firm to hire a Cricket Quantitative Analyst based in the UK. The team applies advanced statistical models to predict sports outcomes, with a focus on cricket and exposure to other sports markets.

Role Highlights

• Develop and deploy predictive models for cricket, including pre-match and in-play strategies.
• Collaborate with a quant team in a research-driven, fast-paced environment.
• Take ownership of models from idea to code, validation, and production.
• Support professional development through conferences, research talks, and training.

What They’re Looking For

• MSc or PhD in Statistics, Mathematics, Data Science, or related field.
• Strong statistical/probabilistic modelling experience.
• Programming skills in Python or R.
• Passion for sports analytics, ideally with cricket-focused modelling experience.
• Ability to communicate results to both technical and non-technical stakeholders.

Interested and have demonstrable experience in either a full time role or in personal projects, then please apply below.