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- Tasks: Develop advanced statistical models for sports betting and enhance market offerings.
- Company: Leading sports betting company in Greater London with a collaborative culture.
- Benefits: Competitive compensation and a dynamic work environment.
- Why this job: Combine your passion for sports with cutting-edge data science and AI.
- Qualifications: 5+ years in quantitative roles and strong quantitative modelling skills.
- Other info: Exciting opportunity to innovate in the sports betting industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading sports betting company in Greater London is looking for a Senior Quantitative Analyst to develop cutting-edge statistical models and enhance market offerings. You will leverage expertise in data science, machine learning, and AI to build models that predict outcomes and manage risks.
Ideal candidates have a passion for sports, a strong background in quantitative modeling, and at least 5 years of experience in a quantitative role. This position offers competitive compensation and a collaborative work environment.
Senior Quantitative Analyst: AI‑driven 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: AI‑driven 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 and give you insights that might just land you that Senior Quantitative Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best statistical models and projects. When you apply through our website, include links to your work so potential employers can see your expertise in action.
✨Tip Number 3
Prepare for the interview by brushing up on your quantitative modelling techniques and AI applications. Be ready to discuss how you've used data science to solve real-world problems, especially in sports betting!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. Mention something specific from your conversation to show your enthusiasm for the role and the company.
We think you need these skills to ace Senior Quantitative Analyst: AI‑driven Sports Betting
Some tips for your application 🫡
Show Your Passion for Sports: We want to see your enthusiasm for sports shine through in your application. Mention any relevant experiences or projects that highlight your love for the game and how it connects to your quantitative skills.
Highlight Your Quantitative Skills: Make sure to showcase your expertise in quantitative modeling and data science. Use specific examples from your past roles to demonstrate how you've successfully applied these skills, especially in a sports context.
Tailor Your Application: Don’t just send a generic CV and cover letter! We’re looking for candidates who can tailor their applications to our needs. Make sure to align your experience with the job description and show us why you’re the perfect fit for this role.
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 don’t miss out on any important updates about the hiring process.
How to prepare for a job interview at Betsson Group
✨Know Your Numbers
As a Senior Quantitative Analyst, you'll need to demonstrate your expertise in statistical models. Brush up on key concepts and be ready to discuss specific models you've developed or worked with. Prepare to explain your thought process and the impact of your work on previous projects.
✨Show Your Passion for Sports
This role is all about sports betting, so make sure to convey your enthusiasm for sports. Share examples of how your passion has influenced your work or decision-making in the past. This will help you connect with the interviewers and show that you're not just a numbers person, but someone who truly understands the industry.
✨Prepare for Technical Questions
Expect technical questions related to data science, machine learning, and AI. Review common algorithms and be prepared to solve problems on the spot. Practising coding challenges or statistical problems can give you an edge and show that you're ready to tackle real-world scenarios.
✨Collaborative Mindset
Since the company values a collaborative work environment, be ready to discuss how you've worked effectively in teams. Share examples of successful collaborations and how you’ve contributed to group projects. Highlighting your ability to communicate complex ideas clearly will also be a plus.
