Quantitative Researcher, Sports Analytics

Job Description

Quantitative Researcher, Sports Analytics | Susquehanna

The Tone:
This is an early career role at Susquehanna, located in Greater Philadelphia. Susquehanna operates as a global quantitative trading firm that prioritizes scientific rigor, curiosity, and innovation. The firm’s approach involves applying machine learning and advanced quantitative research to extensive datasets to uncover actionable insights and develop effective strategies within its systematic trading environment. For this specific role, the Sports Analytics team constructs statistical forecasting models essential for providing liquidity to the sports betting industry. These models are crucial for developing new trading strategies and guiding decision-makers with insights into game event distributions. As a Quantitative Researcher on this team, you will join a group deeply interested in mathematics, gaming, and technology, contributing to a highly collaborative and intellectually driven culture.

The TL;DR
• Role: Early Career
• Location: In-person, Greater Philadelphia
• Team: Sports Analytics team
• Mission: Build statistical forecasting models to provide liquidity for the sports betting industry, developing new trading strategies and informing decision-makers about game events.

What You’ll Actually Do
• Research: Deeply immerse yourself in comprehensive sports analytics research, exploring new methodologies and approaches.
• Experimentation: Empirically test and validate new ideas by leveraging real industry data to derive robust conclusions.
• Development: Write robust computer programs to accurately implement quantitative models and rigorously simulate various game outcomes.
• Collaboration: Actively engage in discussions and foster collaboration with a diverse group of fellow researchers, traders, and technologists to share insights and advance projects.

The Must-Haves
• Background: This role is designed for early career candidates, specifically graduating Master’s or PhD students from a quantitatively-driven academic field.
• Experience: Candidates must possess demonstrated experience actively working on sports analytics projects, showcasing practical application of quantitative skills.
• Skills:
• Solid analytical problem-solving capabilities complemented by excellent logical reasoning abilities.
• Exceptional communication skills, encompassing both the capacity to understand complex information from others and to articulate one’s own ideas clearly and effectively.
• Strong, practical computer programming skills essential for model implementation and simulation.
• A comprehensive understanding of major US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket) is required for domain expertise.