Quantitative Analyst (Sports Trading)

JR United Kingdom; London; On-site; GBP 100,000 - 130,000; Full time

Job summary

A leading sports analytics firm in London is seeking Mid-Level and Senior Quantitative Analysts to join their innovative team. You will utilize advanced statistical modeling to build predictive models for sports outcomes and contribute directly to impactful trading strategies. Candidates should hold a higher degree in a quantitative field and have proficiency in Python. The role offers a non-corporate culture and competitive compensation.

Benefits

Private healthcare

Pension

Gym membership

Regular team events

Qualifications

• MSc/PhD in a field like Maths, Stats, Physics or Computer Science.
• Experience with real-world data is essential.
• Interest or background in sports is a bonus.

Responsibilities

• Build predictive models for sports outcomes.
• Apply statistical techniques to large datasets.
• Contribute actively to trading strategies.

Skills

Proficiency in Python

Strong experience working with real-world data

Deep understanding of probability and statistics

Education

MSc/PhD in a quantitative field

Tools

R

MATLAB

C#

Job description

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Quantitative Analyst (Sports Trading), london

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Client:

Location:

london, 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.