Quantitative Developer Internship - 2027

Dime Line Trading is a confidential sports trading firm, and they are seeking a Quantitative Developer Intern for a 10-week internship. The intern will contribute to the research and implementation of predictive models, develop Python codebases, and assist in optimizing trading systems.

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

What they're looking for:

• 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
• 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