Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop statistical models to enhance football performance and player development.
- Company: Leading sports analytics firm in Greater London with a collaborative culture.
- Benefits: Autonomy in your role and a dynamic work environment.
- Why this job: Combine your passion for sports with data to make a real impact.
- Qualifications: Strong background in applied statistics and programming in R.
- Other info: Join a team that values innovation and offers growth opportunities.
The predicted salary is between 50000 - 70000 £ per year.
A leading sports analytics firm in Greater London is seeking a Club Football Quantitative Analyst to develop statistical models exclusively for football. You will work within the Quant Team to improve performance for partner clubs, focusing on in-game strategy optimization and player development.
Ideal candidates have a strong background in applied statistics, programming in R, and a passion for sports analytics. This role offers substantial autonomy and a collaborative work culture.
Club Football Quant: In-Game Strategy & Player Analytics in London employer: Smartodds
Contact Detail:
Smartodds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Club Football Quant: In-Game Strategy & Player Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the sports analytics field, especially those working in football. Attend events, join online forums, and don’t be shy about asking for informational interviews – you never know who might help you land that dream role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical models and analyses related to football. Use platforms like GitHub to share your R projects, and make sure to highlight any unique insights you've gained from your work.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of in-game strategies and player analytics. Be ready to discuss how you would apply your statistical skills to real-world scenarios in football – think about specific examples that demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who can contribute to our collaborative culture. Make sure your application stands out by tailoring it to the role and showing your enthusiasm for sports analytics.
We think you need these skills to ace Club Football Quant: In-Game Strategy & Player Analytics in London
Some tips for your application 🫡
Show Your Passion for Football: When writing your application, let us know why you're passionate about football and sports analytics. Share any personal experiences or projects that highlight your love for the game and how it drives your analytical work.
Highlight Your Technical Skills: Make sure to showcase your programming skills, especially in R. We want to see how you've applied your statistical knowledge in real-world scenarios, so include specific examples of projects or analyses you've completed.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. Mention how your background aligns with our focus on in-game strategy optimization and player development.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Quant Team!
How to prepare for a job interview at Smartodds
✨Know Your Stats
Brush up on your applied statistics knowledge before the interview. Be ready to discuss specific statistical models you've worked with, especially those relevant to football. This will show your expertise and passion for sports analytics.
✨Show Off Your Coding Skills
Since programming in R is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain a piece of code. Practising common R functions and packages used in sports analytics can give you an edge.
✨Understand In-Game Strategy
Familiarise yourself with current trends in football strategy and how data influences decision-making during matches. Being able to discuss recent games and how analytics could have changed outcomes will impress your interviewers.
✨Emphasise Collaboration
This role involves working closely with partner clubs, so highlight any experience you have in collaborative projects. Share examples of how you've successfully worked in teams to achieve a common goal, especially in a sports context.