Quantitative Data Analyst

Quantitative Data Analyst

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Betsson Group

At a Glance

  • Tasks: Develop and maintain cutting-edge statistical models for sports betting.
  • 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: Degree in STEM, proficiency in C# and Python, and 5+ years in a quantitative role.
  • Other info: Opportunity to work on impactful projects and enhance 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 employer: Betsson Group

Join a pioneering team at the forefront of sports betting analytics, where your expertise as a Quantitative Data Analyst will be valued and nurtured. We offer a collaborative and innovative work culture that encourages professional growth through challenging projects and cutting-edge technology. With a competitive salary and benefits package, this is an exceptional opportunity to make a meaningful impact in a dynamic industry while working alongside passionate professionals who share your enthusiasm for sports and data science.
Betsson Group

Contact Detail:

Betsson Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Data Analyst

✨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 us a tangible way to see 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 seen by the right people. Plus, we love seeing candidates who take that extra step.

We think you need these skills to ace Quantitative Data Analyst

Statistical Modelling
Machine Learning
AI Techniques
C# Programming
Python Programming
Data Retrieval
Statistical Analysis
Problem-Solving
Communication Skills
Sports Betting Industry Knowledge
Mathematical Modelling
Risk Management
Data Engineering (SQL)
Performance Analysis
Mentoring and Team Leadership

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your programming skills in C# and Python right from the start. We want to see how your expertise in statistical and machine learning modelling can shine through in your application!

Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your understanding of the sports betting industry and how your experience aligns with our needs. We love seeing candidates who are genuinely excited about what we do.

Communicate Clearly: Your communication skills are key! When explaining your past projects or methodologies, keep it clear and concise. We appreciate candidates who can break down complex concepts for both technical and non-technical audiences.

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’re considered for this exciting opportunity to join our innovative team!

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 analytics.

✨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 industry and its dynamics.

✨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. Think through potential scenarios related to risk management or market expansion, and be prepared to justify your approach and methodology.

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