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Quantitative Analyst (Sports Trading)

JR United Kingdom

City Of London

On-site

GBP 80,000 - 130,000

Full time

3 days ago
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Job summary

A high-performing team is seeking Mid-Level and Senior Quantitative Analysts in Sports Modelling in London. The role offers a competitive salary up to £130k, a 20% bi-annual bonus, and benefits. Ideal candidates will leverage their expertise in statistical modelling and real-world data to enhance trading strategies in a flat-structured team environment.

Benefits

Private healthcare
Pension
Gym membership
Regular team events

Qualifications

  • MSc/PhD in Maths, Stats, Physics, or Computer Science.
  • Strong experience with real-world datasets.
  • Proficiency in Python is mandatory.

Responsibilities

  • Build predictive models for sports outcomes.
  • Apply statistical techniques to large datasets.
  • Contribute to trading strategies in a dynamic setting.

Skills

Statistical techniques
Probability
Modelling
Strong experience working with real-world data
Python
R
MATLAB
C#

Education

MSc/PhD in a quantitative field

Job description

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Quantitative Analyst (Sports Trading), london (city of london)

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Client:
Location:

london (city of london), United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

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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.

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