Description
This 10-week internship supports the research, design, implementation, and production of predictive statistical and machine learning models for prediction markets and exchange venues. Responsibilities include prototyping and backtesting models, developing features, maintaining Python codebases in Linux, designing pricing models, supporting data pipelines and SQL databases, and improving trading systems. The role requires Python proficiency, statistical modeling or machine learning interest, Linux and SQL familiarity, strong problem-solving and communication skills, and reliable availability; sports analytics, quantitative research, software engineering, and algorithmic trading experience are preferred.
