Quantitative Analyst (Sports Trading)

JR United Kingdom; Slough; On-site; GBP 110,000 - 130,000; Full time

Job summary

A leading analytics firm in Slough is seeking a Quantitative Analyst to join their team. This role involves building predictive models for sports outcomes and applying statistical techniques to real-world datasets. Ideal candidates will have an MSc/PhD in a quantitative field and strong Python skills. The position offers a competitive salary of up to £130,000 plus bonuses and benefits like healthcare and gym membership.

Benefits

Private healthcare

Pension

Gym membership

Regular team events

Qualifications

• Strong experience working with real-world data.
• Deep understanding of probability, statistics, and modelling.
• Genuine interest or background in sports is a bonus.

Responsibilities

• Build predictive models for sports outcomes.
• Apply rigorous statistical techniques to large datasets.
• Contribute directly to trading strategies in a high-impact environment.

Skills

Statistical modelling

Predictive modelling

Python proficiency

Data analysis

Education

MSc/PhD in a quantitative field

Tools

Python

R

MATLAB

C#

Job description

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Quantitative Analyst (Sports Trading), slough

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Client:

Location:

slough, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

22.08.2025

Expiry Date:

06.10.2025

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Job Description:

? Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus ?

A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation.

? Location: Central London (5 days a week, with some flexibility)

? Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits

What you'll do:

• Build predictive models for sports outcomes (e.g. football, tennis, cricket)
• Apply rigorous statistical techniques to large real-world datasets
• Contribute directly to trading strategies in a high-impact, low-bureaucracy setting

What we're looking for:

• MSc/PhD in a quantitative field (e.g. Maths, Stats, Physics, Computer Science)
• Strong experience working with real-world data
• Proficiency in Python (mandatory); R, MATLAB, and C# are a plus
• Deep understanding of probability, statistics, and modelling
• Bonus: Genuine interest or background in sports

What’s on offer:

• Flat-structured, non-corporate team culture
• Exposure to live trading environments and real-time analytics
• Private healthcare, pension, gym membership, regular team events – and yes, cake

This is a rare opportunity to combine advanced analytics, high-impact decision-making, and a passion for sport in one role.