Principal Quantitative Analyst - Sports Betting

Hard Rock Digital
Birmingham
3 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Data Science Principal

Principal Data Engineer

Principal Software Engineer

Principal Data Scientist - Remote

Principal Data Scientist

What are we building?

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social casino company in the world. We're building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we're always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space — ready to join us?

What's the position?

We are looking for a Principal Quantitative Analyst specializing in Sports Betting to join our Quantitative Sports team. As a Principal Quantitative Analyst, you will lead the development and implementation of sophisticated sports simulations and mathematical models that drive our pricing strategies and risk management in the sports betting domain. This role requires an individual who's exceptionally skilled in quantitative analysis, statistical modeling, and has a deep understanding of sports betting industry.

Key Responsibilities:

  • Develop and maintain sophisticated sports simulation models to accurately price a wide range of sports betting markets
  • Lead the creation of proprietary algorithms for odds compilation and risk management across various sports and bet types
  • Collaborate with data engineering teams to ensure efficient processing and utilization of large-scale sports datasets
  • Implement and continuously improve models for live betting, taking into account real-time data and market movements
  • Conduct in-depth analysis of betting patterns and customer behavior to refine pricing strategies and identify potential risks
  • Work closely with trading teams to provide quantitative insights and support for decision-making
  • Stay abreast of the latest developments in sports betting technologies, incorporating new methodologies as appropriate
  • Mentor and guide junior quantitative analysts, fostering a culture of innovation and analytical rigor within the team


What are we looking for?

  • Extensive experience in developing and implementing complex sports simulation models for pricing and risk assessment in sports betting
  • Strong expertise in statistical analysis, machine learning, and predictive modeling techniques applied to sports.
  • Proficiency in programming languages such as Java, Go, C++, Rust, or Python for model development and data analysis
  • Deep understanding of probability theory, stochastic processes, and their applications in sports betting
  • Experience with big data technologies and distributed computing environments for processing large volumes of sports data
  • Ability to work with real-time data feeds and develop models for live betting scenarios
  • Strong problem-solving skills and meticulous attention to detail in analyzing sports statistics and trends
  • Excellent communication skills, with the ability to present complex quantitative concepts to both technical and non-technical stakeholders
  • Leadership experience in guiding and mentoring a team of quantitative analysts in the sports betting domain

Qualifications:

  • Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field
  • Comprehensive knowledge of NFL and/or NBA, including team statistics, player performance metrics, and league-specific betting trends
  • 10+ years of experience in quantitative analysis, with a strong focus on sports modeling and sports betting
  • Proven track record of developing and implementing high-impact sports simulation models for pricing and risk management
  • Extensive experience with odds compilation and pricing strategies across various sports and bet types
  • Strong programming skills and experience with version control systems (e.g., Git)
  • Deep understanding of the sports betting market, including different bet types, market dynamics, and regulatory environment

Preferred:

  • Experience working with a major sportsbook or Quantitative sports company
  • Familiarity with regulatory requirements and compliance in the sports betting industry
  • Publications or patents related to sports modeling, quantitative modeling, or machine learning in betting contexts
  • Experience with real-time decision-making systems for live betting scenarios
  • Knowledge of esports and emerging betting markets

What’s in it for you?

We offer our employees more than just competitive compensation. Our team benefits include:

· Competitive pay and benefits

  • Flexible vacation allowance
  • Flexible work from home or office hours
  • Startup culture backed by a secure, global brand

Roster of Uniques

We care deeply about every interaction our customers have with us and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer)

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.