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.
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).
Benefits
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're ready to take your quantitative skills to the next level and revolutionize the world of sports betting, we encourage you to apply!Challenge accepted?By submitting your application, you understand that your personal data will be processed as set out in our Privacy PolicyPerformance bonus
Additional Information
The Wow
Quantitative Analyst - Revolutionizing Sports Betting
Join our team and shape the future of sports betting! We're seeking a highly motivated and innovative Quantitative Analyst to develop and maintain cutting-edge statistical models. You'll 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.
A taster of what you will be involved with:
As a Quantitative Analyst, you will be a key contributor to our quantitative modelling strategy across multiple areas, including:
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's 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.
Betsson · London, UK