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Quantitative Trader - Sports

JR United Kingdom

Slough

On-site

GBP 130,000

Full time

Yesterday
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Job summary

A leading company in the sports trading market is seeking a Mid-Level and Senior Quantitative Developers to join a dynamic team in Central London. The role focuses on predictive modelling using advanced statistical techniques and offers substantial rewards, including a competitive salary and a generous bonus structure. Candidates will thrive in a collaborative environment, have exposure to live trading environments, and enjoy various employee benefits, fostering both personal and professional growth.

Benefits

Private healthcare
Pension
Gym membership
Regular team events

Qualifications

  • Strong experience with real-world data required.
  • Experience in a Quant role is mandatory.
  • Genuine interest in sports is a bonus.

Responsibilities

  • Build predictive models for sports outcomes.
  • Apply rigorous statistical techniques to datasets.
  • Contribute to trading strategies in low-bureaucracy settings.

Skills

Statistical techniques
Probability
Modelling
Python
R
Data analysis

Education

MSc/PhD in Maths, Stats, Physics, or Computer Science

Tools

MATLAB
C#

Job description

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A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers 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/R (mandatory); MATLAB, and C# are a plus
  • Deep understanding of probability, statistics, and modelling
  • Experience in a Quant role
  • 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

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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