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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.
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