Quantitative Analyst - Modeler

Sports Quant Analyst - Modeler

I am working with a leading Sports analytics firm seeking a talented Quantitative Analyst to join their prediction team. My client has been at the forefront of combining advanced predictive modeling, expert analysis, and proprietary datasets to deliver impactful insights to their partners in the betting and football industries.

About the Role

In this position, you will work with extensive datasets to refine predictive models, explore new methodologies, and implement innovative solutions. This role requires an analytical mindset, creativity, and the ability to adapt traditional modeling approaches to solve unique challenges in football analytics.

You’ll collaborate with a team of skilled quants, developers, and analysts, blending technical expertise with football domain knowledge.

Key Requirements

• 2+ years of experience in predictive modeling and machine learning in sports or betting.
• Strong proficiency in Python and SQL.
• Familiarity with modeling techniques such as Monte Carlo simulation, Bayesian methods, and time series forecasting.
• Strong understanding of expected value and utility principles.
• Passion for football and sports analytics.

If you have any questions or wish to apply directly please contact