Quantitative Developer

• 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.

• 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.