Quantitative Developer Internship
Core
Build predictive statistical and machine learning models for prediction markets and exchange venues, focusing on pricing, backtesting, and real-time data pipelines.
Role type
Quantitative Developer Intern
Builds
Predictive models, pricing frameworks, and data pipelines for sports prediction markets
Domain
Sports analytics, quantitative finance, machine learning
Deliverable
production ML models
Required skills
Python, statistical modeling, machine learning, SQL, Linux, backtesting, real-time systems
Preferred skills
R, object-oriented development, algorithmic trading models, sports gambling/fantasy sports analytics, optimization
Technologies
Python, Linux, SQL, Machine Learning
Responsibilities
Support research, design, and deployment of predictive models; build prototypes and run backtests; develop and maintain Python codebases; assist with data pipelines and SQL integration; help design new pricing models and frameworks.
Seniority
Intern