Senior Quantitative Data Analyst
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.
- Develop and refine models for predicting match outcomes, incorporating advanced statistical methods, machine learning algorithms, and AI techniques.
- Build and maintain sophisticated models that analyse player performance and predict individual contributions, opening up exciting new betting markets.
- Design and implement robust risk models to optimise our exposure and ensure the long-term sustainability of our operations.
- Contribute to the development of innovative market offerings, including derivatives and micro-markets, by creating the necessary underlying models.
- Collaborate on the modernization of our modelling technologies, exploring and implementing new tools and platforms to enhance efficiency and scalability.
- Contribute to the development of new data-driven methodologies, pushing the boundaries of what's possible in sports betting analytics.
- Work closely with the data engineering team to optimise data storage and retrieval processes, ensuring seamless access to the information needed for model development.
- Identify and collect relevant data sources to fuel model development and improvement.
- Document model methodologies clearly and concisely, effectively communicating complex technical concepts to both technical and non-technical stakeholders across the business.
- Collaborate with the performance analysis team to identify areas where models can be improved and contribute to the ongoing refinement of our analytical tools.
- PhD, Masters, or Bachelor’s degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Physics, Engineering). (required)
- Proficiency in C# and Python is essential. (required)
- Strong knowledge of statistical and machine learning modelling techniques. (required)
- Excellent communication skills, with the ability to clearly explain complex technical information to diverse audiences. (required)
- A solid understanding of the sports betting industry, sports trading, and sports modelling. (required)
- Demonstrated ability to solve complex problems and provide clear justifications for chosen methodologies. (required)
- Proven experience in building and deploying mathematical models. (required)
- Proficient in data retrieval and statistical analysis. (required)
- 5+ years of experience in a quantitative role. (required)
- Experience working in the sports betting industry. (preferred)
- Mentoring and team leadership skills. (preferred)
- Experience developing quantitative models using machine learning and AI. (preferred)
- Strong knowledge and skills in data engineering (SQL). (preferred)
- 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.
From a single slot machine in 1963 to a Nasdaq Stockholm-listed organisation with licences across multiple jurisdictions, Betsson has evolved into a diversified, multinational business. Today we employ around 3,000 people representing more than 75 nationalities across +20 locations. Betsson AB is headquartered in Stockholm, while our operational headquarters in Ta’ Xbiex, Malta, drive the day-to-day business under what we refer to as Betsson Group. Our vision is to deliver the best customer experience in the industry. Through a portfolio of leading brands such as Betsson, Betsafe and NordicBet, we offer casino, sportsbook and other gaming products in regulated markets across Europe, South America, North America and Central Asia. Our proprietary technology underpins a scalable model that serves both B2C customers and B2B partners. Sustainability is embedded in our strategy. Responsible growth, customer protection and a commitment to our people and the communities we operate in remain central to how we create long-term value.