Quantitative Sports Trader

Role Overview

This position involves trading and developing quantitative strategies with a focus on prediction markets. The successful candidate will execute quick, well-informed trades while creating and maintaining quantitative models, data pipelines, and trading tools. The role combines practical trading experience with quantitative research, model design, and product management, ideal for those passionate about market analytics and technology.

Key Responsibilities

• Execute trades leveraging proprietary models, data insights, and automation to optimize expected returns and achieve business goals.
• Manage end-to-end ownership of trading strategies and related models, including their design, implementation, and refinement for execution, pricing, and market-making functions.
• Work closely with quantitative researchers and engineers to develop and deploy model improvements, new data features, and enhancements to trading infrastructure.
• Conduct detailed analyses after trades, assessing decision outcomes, model effectiveness, and market dynamics to inform strategy and calibrate models.
• Identify and exploit opportunities in prediction market behavior such as pricing inefficiencies, liquidity trends, or responsiveness to improve trading advantage.
• Promote innovation in trading techniques, tools, and data utilization across trading and quantitative teams.

Candidate Profile and Requirements

• Possess at least a Bachelor’s degree in a technical or quantitative field like Mathematics, Statistics, Computer Science, Physics, or Economics.
• Have deep expertise and enthusiasm for sports including Football, Soccer, or Golf, with a solid grasp of tactical, statistical, and market perspectives, and direct trading experience in these sports.
• Proven proficiency in Python, with strong skills in data handling (Pandas, NumPy), statistical evaluation, and process automation.
• Experience incorporating data and models into live trading environments is highly valued.
• Exceptional ability in quantitative analysis, critical thinking, and problem-solving.
• Background in trading or modeling in rapid, competitive markets such as prediction markets or financial exchanges.
• Capable of bridging trading and quantitative research by integrating analytical insights with actual execution.
• Willingness to assume product ownership responsibilities, including setting priorities, delivering features, and refining workflows comprehensively.
• Excellent communication skills for effective teamwork and clear explanation of trading decisions.
• Flexibility to adjust working hours to accommodate global sports events such as games, matches, and tournaments.

Additional Information

Recruiting agencies interested in partnership should contact recruiting@sig.com. Resumes or referrals submitted without an official agreement will not qualify for agency fees.