Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative statistical models for match predictions and player stats.
- Company: Leading sports betting firm with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Why this job: Join a dynamic team and push the boundaries of sports analysis.
- Qualifications: Strong data science background and programming skills in C# and Python.
- Other info: Collaborative environment with exciting challenges in sports betting.
The predicted salary is between 43200 - 72000 £ per year.
A leading sports betting firm is seeking a Quantitative Analyst to enhance market offerings through innovative statistical models. The ideal candidate will have a strong background in data science, programming skills in C# and Python, and extensive experience in quantitative roles.
Responsibilities include:
- Developing models for match predictions and player statistics
- Designing risk management frameworks
Join a dynamic team that is pushing the boundaries of sports analysis in a collaborative environment.
Senior Quantitative Analyst — Sports Betting employer: Betsson Group
Contact Detail:
Betsson Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst — Sports Betting
✨Tip Number 1
Network like a pro! Reach out to folks in the sports betting industry on LinkedIn or at 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 statistical models and programming projects in C# and Python. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative analysis techniques. Be ready to discuss how you've tackled real-world problems with your models, especially in sports contexts.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our dynamic team. It shows initiative and enthusiasm!
We think you need these skills to ace Senior Quantitative Analyst — Sports Betting
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in C# and Python. We want to see how your technical expertise can enhance our market offerings, so don’t hold back on showcasing your experience in quantitative roles!
Tailor Your Application: When applying, tailor your CV and cover letter to reflect the specific responsibilities mentioned in the job description. We love seeing candidates who understand what we do and how they can contribute to developing models for match predictions and player statistics.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our dynamic team.
How to prepare for a job interview at Betsson Group
✨Know Your Numbers
Brush up on your statistical models and quantitative analysis techniques. Be ready to discuss specific examples of how you've used data science in previous roles, especially in sports betting or similar fields.
✨Show Off Your Coding Skills
Since programming in C# and Python is key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis beforehand.
✨Understand the Market
Familiarise yourself with current trends in sports betting and how quantitative analysis plays a role. Being able to discuss recent developments or innovations in the industry will show your passion and knowledge.
✨Collaborative Mindset
This role is all about teamwork, so be prepared to talk about your experience working in collaborative environments. Share examples of how you’ve contributed to team projects and how you handle feedback and differing opinions.
