Quantitative Developer, New Graduates - 2027

Dime Line Trading • Chicago, IL

6h

About The Position

This role focuses on contributing to the research, design, and implementation of predictive statistical and machine learning models for prediction markets and exchange venues. The position involves prototyping, backtesting, and monitoring model performance, as well as developing and maintaining Python codebases in a Linux environment. The role also includes supporting data pipelines, SQL database interactions, and improving trading systems and operational tools. The new graduate will gain exposure to various sports, quantitative disciplines, and production engineering.

Requirements

• Proficiency in Python
• 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

Nice To Haves

• 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.
• Experience in R or other languages a plus.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed