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- Tasks: Develop cutting-edge statistical models for sports betting and enhance market offerings.
- Company: Join a dynamic team at the forefront of the sports betting industry.
- Benefits: Competitive salary, benefits package, and a collaborative work environment.
- Why this job: Revolutionise sports betting with your quantitative skills and innovative ideas.
- Qualifications: PhD, Masters, or Bachelor's in a STEM field; proficiency in C# and Python.
- Other info: Opportunity to work on impactful projects and grow your career.
The predicted salary is between 36000 - 60000 £ per year.
Join our team and shape the future of sports betting! We are seeking a highly motivated and innovative Quantitative Analyst to develop and maintain cutting-edge statistical models. You will play a crucial role in enhancing our market offerings and driving our success in the dynamic world of sports betting. This is an opportunity to leverage your expertise in data science, machine learning, and AI to build models that predict outcomes, manage risk, and unlock new possibilities in micro-markets and derivatives.
What we are looking for:
- You are a highly analytical and results-oriented individual with a passion for sports and a deep understanding of quantitative modelling.
- You thrive in a fast-paced environment and are eager to contribute to a team that is pushing the boundaries of sports betting analytics.
Education:
- PhD, Masters, or Bachelor’s degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Physics, Engineering).
Programming Skills:
- Proficiency in C# and Python is essential.
Modelling Expertise:
- Strong knowledge of statistical and machine learning modelling techniques.
Communication Skills:
- Excellent communication skills, with the ability to clearly explain complex technical information to diverse audiences.
Industry Knowledge:
- A solid understanding of the sports betting industry, sports trading, and sports modelling.
Problem-Solving:
- Demonstrated ability to solve complex problems and provide clear justifications for chosen methodologies.
Modelling Experience:
- Proven experience in building and deploying mathematical models.
Data Skills:
- Proficient in data retrieval and statistical analysis.
Experience:
- 5+ years of experience in a quantitative role.
Responsibilities:
- Core Sports Betting Models: Develop and refine models for predicting match outcomes, incorporating advanced statistical methods, machine learning algorithms, and AI techniques.
- Player Statistics Models: Build and maintain sophisticated models that analyze player performance and predict individual contributions, opening up exciting new betting markets.
- Risk Management Models: Design and implement robust risk models to optimize our exposure and ensure the long-term sustainability of our operations.
- Market Expansion: Contribute to the development of innovative market offerings, including derivatives and micro-markets, by creating the necessary underlying models.
- Technology Modernization: Collaborate on the modernization of our modeling technologies, exploring and implementing new tools and platforms to enhance efficiency and scalability.
- Data-Driven Innovation: Contribute to the development of new data-driven methodologies, pushing the boundaries of what is possible in sports betting analytics.
- Data Collaboration: Work closely with the data engineering team to optimize data storage and retrieval processes, ensuring seamless access to the information needed for model development.
- Data Acquisition: Identify and collect relevant data sources to fuel model development and improvement.
- Knowledge Sharing: Document model methodologies clearly and concisely, effectively communicating complex technical concepts to both technical and non-technical stakeholders across the business.
- Performance Analysis: Collaborate with the performance analysis team to identify areas where models can be improved and contribute to the ongoing refinement of our analytical tools.
Bonus Points:
- Experience working in the sports betting industry.
- Mentoring and team leadership skills.
- Experience developing quantitative models using machine learning and AI.
- Strong knowledge and skills in data engineering (SQL).
What we offer:
- A chance to be part of a dynamic and innovative team at the forefront of the sports betting industry.
- The opportunity to work on challenging and impactful projects.
- A competitive salary and benefits package.
- A collaborative and supportive work environment.
If you are ready to take your quantitative skills to the next level and revolutionize the world of sports betting, we encourage you to apply!
Quantitative Data Analyst in London employer: Betsson Group
Contact Detail:
Betsson Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Data Analyst 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 modelling projects, especially those related to sports analytics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex models in simple terms – it’s key to impressing both technical and non-technical interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Quantitative Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative modelling and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess in C# and Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for sports betting and how your analytical skills can contribute to our team. Keep it engaging and make sure to mention any specific projects or achievements that demonstrate your expertise.
Showcase Your Problem-Solving Skills: In your application, highlight examples where you've tackled complex problems using statistical methods or machine learning. We love seeing how you approach challenges, so share your thought process and the impact of your solutions!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in the sports betting industry!
How to prepare for a job interview at Betsson Group
✨Know Your Numbers
Brush up on your statistical models and machine learning techniques before the interview. Be ready to discuss specific examples of how you've applied these skills in past roles, especially in relation to sports betting or similar industries.
✨Show Your Passion for Sports
Make sure to convey your enthusiasm for sports and how it ties into your analytical work. Share any personal experiences or insights that demonstrate your understanding of the sports betting landscape and how you can contribute to the team.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You might be asked to present your modelling methodologies, so ensure you can articulate your thought process clearly to both technical and non-technical audiences.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world problems during the interview. Prepare by thinking through how you would approach various scenarios related to risk management or market expansion, and be ready to justify your methodologies.
