Quantitative Sports Trader
Core
A trading and quantitative strategy role focused on prediction markets, blending hands-on trading with model development and data pipeline management.
Role type
Quantitative Sports Trader (IC)
Builds
In-house trading models, data pipelines, and automated trading tools
Domain
Prediction markets / Sports analytics
Deliverable
production ML models
Required skills
Python (Pandas, NumPy), quantitative reasoning, statistical analysis, data manipulation, market-making logic, post-trade analysis
Preferred skills
Experience integrating models into production trading workflows, experience in fast-moving competitive markets
Technologies
Python, Pandas, NumPy
Responsibilities
Trade using in-house models and automated tools; design and refine execution and pricing logic; collaborate on model enhancements and data features; perform post-trade analysis; identify pricing inefficiencies in prediction markets; drive innovation in trading methodology.
Seniority
Mid-Senior, hands-on IC
