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- 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 hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and push the boundaries of sports analysis.
- Qualifications: Strong background in data science 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 in London 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 in London
✨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 analyses. This is your chance to demonstrate your expertise in C# and Python beyond the written application.
✨Tip Number 3
Prepare for the interview by brushing up on your quantitative skills. Be ready to discuss your past projects and how they relate to match predictions and risk management frameworks.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed by the right people in our dynamic team.
We think you need these skills to ace Senior Quantitative Analyst — Sports Betting in London
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: Customise your CV and cover letter to reflect the specific requirements of the Senior Quantitative Analyst role. We love seeing candidates who take the time to align their experiences with what we’re looking for in a dynamic team member.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and how you can contribute to our innovative statistical models.
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 in sports analysis.
How to prepare for a job interview at Betsson Group
✨Know Your Numbers
Brush up on your statistical models and be ready to discuss how you've used them in past roles. Be prepared to explain your thought process behind model development, especially in the context of sports betting.
✨Show Off Your Coding Skills
Since programming in C# and Python is key for this role, make sure you can talk about specific projects where you've applied these languages. Consider bringing a portfolio or examples of your code to demonstrate your expertise.
✨Understand the Market
Research the latest trends in sports betting and be ready to discuss how they might impact your work. Showing that you’re not just a number cruncher but also understand the industry will set you apart.
✨Collaborative Mindset
This role is all about teamwork, so be prepared to share examples of how you've successfully collaborated with others in previous positions. Highlight your ability to communicate complex ideas clearly and work towards common goals.
