At a Glance
- Tasks: Design and develop advanced mathematical models for sports betting products.
- Company: Join a leading sports analytics team in London with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with top data professionals and enjoy a dynamic work environment.
- Why this job: Make a real impact in sports analytics and lead exciting modelling initiatives.
- Qualifications: Experience in quantitative analysis, strong Python skills, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
The Senior Sports Quantitative Modeller understands that successful sports products are built on robust mathematics, accurate modelling, and continuous innovation. This is a highly specialised role sitting at the intersection of quantitative research, statistical modelling, and sports analytics. You'll be responsible for designing, developing, and enhancing advanced mathematical models that power sports betting markets, with a particular focus on deriving new markets and improving existing offerings.
We're looking for someone who combines deep statistical expertise with strong commercial awareness and a passion for solving complex problems. You'll operate with a high degree of autonomy, leading modelling initiatives from concept through to deployment while collaborating with data scientists, engineers, and business stakeholders to deliver measurable impact. Based in London, you'll join a growing Business Intelligence team focused on driving innovation and creating value through data, technology, and advanced analytics.
What you'll be doing
- Designing, developing, and implementing advanced mathematical and statistical models for sports betting products
- Creating and enhancing pricing models, market derivations, and quantitative frameworks across multiple sports
- Applying complex statistical distributions and Monte Carlo simulation techniques to solve challenging modelling problems
- Leading BetBuilder and quantitative modelling initiatives from concept through to production deployment
- Backtesting, validating, and refining models to ensure accuracy, robustness, and commercial performance
- Taking ownership of projects, managing milestones, and driving delivery with minimal supervision
- Collaborating closely with engineering, product, and data teams to ensure successful model implementation
- Identifying opportunities to improve existing models and develop innovative new market offerings
- Presenting quantitative findings and recommendations to both technical and non-technical stakeholders
- Creating reports and visualisations to communicate model performance and business insights
- Mentoring and providing technical guidance to junior team members
What we're looking for
- Proven experience as a Quantitative Analyst or Quantitative Modeller with a strong track record of delivering impactful models
- Deep expertise in mathematical and statistical modelling techniques
- Strong understanding of probability theory, statistical distributions, and Monte Carlo simulations
- Advanced Python skills for modelling, analysis, and data manipulation
- Experience with model validation, backtesting, and performance evaluation
- Strong understanding of the end-to-end model development lifecycle
- Experience deriving sports betting markets, with US sports experience considered advantageous
- Excellent communication skills with the ability to explain complex concepts clearly
- Strong problem-solving abilities and exceptional attention to detail
- Ability to manage multiple projects and work independently in a fast-paced environment
- Experience with data visualisation tools and reporting platforms such as Tableau
Desirable Experience
- Machine Learning and predictive modelling experience
- Experience working with large datasets and big data technologies such as PySpark or Hive
- Familiarity with version control systems such as Git
- Understanding of MLOps principles and model deployment practices
- Exposure to containerisation technologies such as Docker
- Experience with Kubernetes or workflow orchestration tools
Why this role
This is an opportunity to play a key role in developing the quantitative models that power innovative sports betting products. You'll have the autonomy to lead complex modelling initiatives, work alongside highly skilled data professionals, and directly influence product performance through advanced statistical research and analysis. If you enjoy solving challenging quantitative problems and want to work at the forefront of sports analytics, this role offers an excellent platform to make an impact.
If you are interested to find out more, please apply for the role with an up-to-date copy of your CV. If you have any questions you would like to discuss first, please call Ali on +44 7508 753 939.
Senior Sports Quantitative Modeller in London employer: Humankind Global Recruitment
As a Senior Sports Quantitative Modeller in London, you'll join a dynamic Business Intelligence team that thrives on innovation and collaboration. The company fosters a culture of autonomy and continuous learning, offering exceptional growth opportunities through mentorship and exposure to cutting-edge analytics. With a focus on impactful projects and a commitment to employee development, this role provides a unique chance to shape the future of sports betting products while enjoying a supportive and engaging work environment.
Contact Details:
Humankind Global Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Sports Quantitative Modeller in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports analytics field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling projects and analyses. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical techniques and be ready to discuss your past projects. We want to see how you think and solve problems, so practice explaining your thought process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior Sports Quantitative Modeller in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in quantitative modelling and sports analytics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about sports analytics and how your expertise can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Since this role requires advanced Python skills and knowledge of statistical techniques, make sure to mention any relevant tools or technologies you’ve worked with. We’re keen to see your technical prowess in action!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Humankind Global Recruitment
✨Know Your Maths Inside Out
As a Senior Sports Quantitative Modeller, you'll need to showcase your deep understanding of mathematical and statistical modelling techniques. Brush up on probability theory, Monte Carlo simulations, and any relevant frameworks. Be ready to discuss specific models you've developed and the impact they had.
✨Showcase Your Problem-Solving Skills
Prepare to tackle complex problems during the interview. Think of examples where you've successfully solved challenging modelling issues. Highlight your analytical approach and how you derived innovative solutions, especially in sports betting markets.
✨Communicate Clearly with Everyone
You'll be presenting findings to both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Use clear examples from your past work to demonstrate your ability to communicate effectively across different teams.
✨Demonstrate Your Project Management Skills
Since this role requires managing multiple projects with minimal supervision, be prepared to discuss how you've taken ownership of past projects. Share your strategies for meeting milestones and driving delivery, and mention any tools or methodologies you used to keep everything on track.
