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- Tasks: Develop advanced statistical models to enhance sports betting market offerings.
- Company: Leading sports betting company in Greater London with a focus on innovation.
- Benefits: Competitive salary and a collaborative work environment.
- Why this job: Join a dynamic team and make an impact in the exciting world of sports betting.
- Qualifications: Strong data science background, programming skills in C# and Python, and 5+ years experience.
- Other info: Opportunity to work on technology modernization and risk management.
The predicted salary is between 43200 - 72000 £ per year.
A leading sports betting company in Greater London is seeking a Quantitative Analyst to develop advanced statistical models that enhance market offerings. The role involves managing risk, predicting outcomes, and collaborating on technology modernization.
Candidates should have a strong background in data science, excellent programming skills in C# and Python, and more than 5 years of experience in a quantitative field. A competitive salary and collaborative environment await the right candidate.
Sports Betting Quantitative Analyst | AI & ML Models employer: Betsson Group
Contact Detail:
Betsson Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Betting Quantitative Analyst | AI & ML Models
✨Tip Number 1
Network like a pro! Reach out to folks in the sports betting and data science communities. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best statistical models and projects. Use GitHub to share your code and demonstrate your programming prowess in C# and Python. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your quantitative analysis techniques and be ready to discuss how you've managed risk and predicted outcomes in past roles. Practise common interview questions and think of examples that highlight your experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Keep an eye on our listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Sports Betting Quantitative Analyst | AI & ML Models
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 experience aligns with the role, so don’t hold back on showcasing your data science background!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Quantitative Analyst position. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Betsson Group
✨Know Your Numbers
Brush up on your statistical knowledge and be ready to discuss specific models you've developed. Be prepared to explain how these models can enhance market offerings in sports betting.
✨Show Off Your Coding Skills
Since programming in C# and Python is crucial for this role, practice coding challenges beforehand. You might be asked to solve a problem on the spot, so being comfortable with both languages will give you an edge.
✨Understand Risk Management
Familiarise yourself with risk management strategies in sports betting. Be ready to discuss how you would approach predicting outcomes and managing risk in your models.
✨Collaborate and Communicate
This role involves collaboration, so think of examples where you've worked in a team to modernise technology or improve processes. Highlight your communication skills and how they contribute to successful teamwork.
