Malta
Senior Quantitative Data Analyst — Betsson Group
- Work Style On-site
- Location London
- Experience Senior
- Job Type Full-time
Job Description
###
Responsibilities
As a Senior 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 analyses 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 modelling 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.
###
• 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 analyses 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 modelling 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.
###
Requirements
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.
• 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.
Skills & Technologies
Betsson
iGaming
Sports Betting
Casino
Data & Analytics
Agile
more roles