Quantitative Data Analyst

The Wow

Senior 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 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.