Senior Quantitative Analyst β€” Sports Betting AI & Risk

Senior Quantitative Analyst β€” Sports Betting AI & Risk

Full-Time On-site
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At a Glance

  • Tasks: Develop and maintain advanced statistical and ML models for sports betting.
  • Company: Join Betsson Group, a leader in the sports betting industry.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and push analytical boundaries.
  • Why this job: Make an impact in a dynamic, data-driven environment with cutting-edge technology.
  • Qualifications: Strong STEM background, 5+ years in quantitative roles, expertise in C# and Python.

Betsson Group is seeking a Senior Quantitative Analyst to develop and maintain advanced statistical and ML models for sports betting. You will predict outcomes, manage risk, and enable new betting markets while collaborating across data teams and stakeholders.

The role requires a strong STEM background, 5+ years in quantitative roles, and expertise in C# and Python. A dynamic, data-driven environment awaits, with modern tech and opportunities to push analytical boundaries.

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Senior Quantitative Analyst β€” Sports Betting AI & Risk employer: Betsson Group

At Betsson Group, we pride ourselves on being an exceptional employer in the heart of London, where innovation meets collaboration. Our vibrant work culture fosters creativity and growth, offering employees ample opportunities for professional development while working with cutting-edge technology in the dynamic sports betting industry. Join us to be part of a forward-thinking team that values data-driven insights and encourages a healthy work-life balance.

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Contact Details:

Betsson Group Recruitment Team

StudySmarter Expert Advice🀫

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We think you need these skills to ace Senior Quantitative Analyst β€” Sports Betting AI & Risk

Statistical Modelling
Machine Learning
C#
Python
Risk Management
Data Analysis
Collaboration

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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