Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our prediction team to enhance predictive models using extensive football data.
- Company: We're a leading Football data and betting company in central London with over 10 years of experience.
- Benefits: Enjoy a half-year bonus, subsidized meals, gym membership, and private medical insurance.
- Why this job: Combine your passion for football with cutting-edge analytics in a collaborative environment.
- Qualifications: 3 years' experience in predictive modeling, machine learning, and a strong programming background in Python and SQL.
- Other info: Work mostly in-office but enjoy one remote day per week!
The predicted salary is between 36000 - 60000 £ per year.
Quantitative Analyst required by a Football data and betting company based in central London.
Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.
The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks.
The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods.
The role will be working alongside a team of Quants, Developers, and Analysts.
Due to the nature of the business this is mainly an office-based role, but you will be able to choose 1 day per week to work from home.
Experience required: 3 years’ experience within predictive modelling, machine learning, and probability theory.
Ideally this would be within sports or gaming/betting industries.
Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases An interest/passion for Football The company offer some great benefits including a half year bonus, subsidised office meals, gym membership, and private medical insurance.
If you are interested in this role, please apply or contact / 02380 765 286 for further information.
Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
ADZN1_UKTJ
Quantitative Analyst (Football) employer: Spectrum It Recruitment Limited
Contact Detail:
Spectrum It Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst (Football)
✨Tip Number 1
Make sure to showcase your passion for football in your conversations and networking. This can help you connect with the team and demonstrate that you're not just a numbers person, but someone who truly understands the sport.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in predictive modeling and machine learning, especially as they relate to sports analytics. Being able to discuss recent advancements can set you apart during interviews.
✨Tip Number 3
Engage with online communities or forums related to sports analytics and betting. This can provide you with insights into industry challenges and innovations, which you can bring up during discussions with the hiring team.
✨Tip Number 4
Prepare to discuss specific projects or experiences where you've applied techniques like Monte Carlo simulation or Bayesian modeling. Real-world examples will demonstrate your expertise and problem-solving skills effectively.
We think you need these skills to ace Quantitative Analyst (Football)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements for the Quantitative Analyst position. Highlight your relevant experience in predictive modeling, machine learning, and probability theory.
Tailor Your CV: Customize your CV to emphasize your experience in sports or gaming/betting industries. Include specific examples of projects where you used techniques like Monte Carlo simulation or Bayesian modeling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for football and your analytical skills. Explain how your background aligns with the company's goals and how you can contribute to enhancing their predictive models.
Highlight Technical Skills: Clearly list your programming abilities, especially in Python and SQL. Mention any experience with relational databases and how you've applied these skills in previous roles to solve complex problems.
How to prepare for a job interview at Spectrum It Recruitment Limited
✨Show Your Passion for Football
Make sure to express your genuine interest in football during the interview. Share any relevant experiences or insights you have about the sport, as this will demonstrate your enthusiasm and fit for the role.
✨Highlight Your Technical Skills
Be prepared to discuss your experience with predictive modeling, machine learning, and probability theory. Provide specific examples of projects where you've utilized techniques like Monte Carlo simulation or Bayesian modeling, especially in a sports context.
✨Demonstrate Team Collaboration
Since you'll be working alongside Quants, Developers, and Analysts, emphasize your ability to collaborate effectively within a team. Share examples of how you've successfully worked with others to achieve common goals in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to programming in Python and SQL, as well as your understanding of statistical models. Brush up on these topics and be ready to solve problems or explain concepts clearly during the interview.
