Quantitative Developer Internship - 2027

Job Description Job Description This is a 10 week internship available all seasons of the year. What you'll do:

• Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues

• Prototype and backtest models, monitor performance, and assist with optimizations.

• Contribute to key feature development for model efficiency

• Develop and maintain Python codebases in a Linux environment.

• Help to design and implement new pricing models and frameworks

• Support data pipeline and SQL database interactions for real-time models.

• Assist in improving trading systems and operational tools.

• Gain exposure to multiple sports, quantitative disciplines, and production engineering.

• Other duties as assigned.

Skills you'll need:

• 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.

• Predictable and reliable availability

It's great to see:

• Coursework in statistics, optimization, computer science, or related fields.

• Prior internship or project experience in trading, quantitative research, or software engineering.

• Exposure to object-oriented development, real-time systems, or algorithmic trading models.

• Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.