National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sports Quantitative Analyst

Workable
Greater London
2 weeks ago
Create job alert

The Quant team at Mustard Systems create predictive models that are globally recognised as best-in-class. We use cutting-edge statistical methods to model a wide variety of sports, often developing our own techniques. We're looking for talented individuals to join our team.

You can expect:

  • To research recent advances in Bayesian updating to better extract signals from noisy data
  • To join a close-knit, collaborative team of mathematicians and enjoy a high level of responsibility from an early stage
  • To design and build your own models using your own ideas
  • To work closely with expert traders and developers to improve your models

Requirements

What we're looking for:

  • Two yearsindustry experience working with statistical models as a quantitative analyst or data scientist
  • A Masters level degree in either Statistics or Probability Theory.
  • Intellectual curiosity, creativity and confidence to try new approaches.
  • Excellent problem solving and communication skills.
  • An interest in sports or competitive games.

Benefits

Why join Mustard Systems?

    • Work on cutting-edge systems in a competitive and innovative field.
    • Collaborate with a smart, driven team, where your contributions directly impact business performance.
    • Opportunity to drive the company’s technical direction and double its revenue in the next three years.

Comprehensive benefits, including:

    • Competitive salary and significant bonus potential.
    • Enhanced pension match with salary sacrifice option.
    • Health insurance and life assurance.
    • Sabbatical leave after five years.
    • 33 days of annual leave (including bank holidays).

Related Jobs

View all jobs

Quantitative Analyst (Sports Trading)

Quantitative Analyst

Quantitative Analyst

Marketing Data Analyst - Sports Retail

Senior Quantitative Developer

Data Governance Analyst - Vice President

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.