At a Glance
- Tasks: Build and improve football market models, evaluate performance, and collaborate with analysts.
- Company: Moretus, a dynamic sports betting firm based in London.
- Benefits: Competitive salary, performance bonus, hybrid work, and generous holiday allowance.
- Other info: Join a small team with direct influence and excellent career growth opportunities.
- Why this job: Make a real impact in football modelling and see your work tested weekly.
- Qualifications: 3+ years in statistical modelling, fluent in Python or R, and a passion for football.
The predicted salary is between 49500 - 60500 £ per year.
Moretus is a London-based sports betting and trading firm specialising in football. We build our own statistical models and price markets across leagues worldwide. We’re a small team growing our modelling function, and we’re looking for a quantitative analyst who wants to own models end to end and see their work tested against the market every week.
What you’ll do:
- Build and improve models for football markets, including match odds, Asian handicap and goal totals.
- Develop team and player strength ratings that respond to lineups, injuries and form.
- Evaluate models rigorously using calibration, log-loss and performance against closing market prices.
- Work with our league analysts to turn team news and match observation into model inputs.
- Run your models in production on our existing data infrastructure.
What we’re looking for:
- 3+ years’ experience in statistical or predictive modelling.
- Strong statistics: probabilistic modelling, GLMs, Bayesian and hierarchical methods.
- Fluent Python or R, plus SQL.
- An understanding of why the betting market is a tough benchmark, and how to tell real edge from noise.
- Rigour about data leakage, overfitting and small samples.
- A genuine interest in football.
- MSc or PhD in statistics, mathematics, physics, econometrics or a similar field, or equivalent demonstrated work.
Nice to have:
- Experience in sports betting, trading or bookmaker pricing.
- Experience with football event or tracking data.
- Public work such as papers, GitHub projects, a blog or published models.
What we offer:
- £120,000 – £160,000 base salary depending on experience.
- Performance-related bonus.
- Hybrid working: 3 days a week in our London office. Fully remote within Europe considered for exceptional candidates.
- 25 days’ holiday plus bank holidays.
- Workplace pension.
- Budget for conferences and training.
- A small team where your work has direct impact and is judged by results.
Moretus is an equal opportunity employer.
Quantitative Analyst – Football Modelling in London employer: Moretus
Moretus is an attractive employer for those passionate about football and data analysis, offering flexible working arrangements and the chance to work closely with quantitative analysts. Employees can immerse themselves in the dynamic world of sports betting while contributing valuable insights to enhance model accuracy.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst – Football Modelling in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Moretus!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Analyst – Football Modelling at Moretus.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Moretus.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Analyst – Football Modelling at Moretus, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Analyst – Football Modelling in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Moretus, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Moretus. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Moretus
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Moretus!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
