Quantitative Developer Intern - Summer 2026

This internship offers the opportunity to contribute to the research, design, and implementation of predictive statistical and machine learning models, prototype and backtest models, and develop/maintain Python codebases. The intern will work on model efficiency, new pricing models, and data pipelines, and gain exposure to multiple disciplines.

Requirements

• Proficiency in Python (experience in R or other languages a plus).
• Strong interest in statistical modeling, machine learning, or predictive analytics.
• Familiarity with Linux and SQL databases.
• Ability to work in a fast-paced environment and manage multiple tasks.
• Interest in sports and sports analytics / sabermetrics.
• Strong problem-solving and communication skills.