Quantitative Sports Trader (Prediction Markets)

Location: Dublin, Ireland

Company

hirify.global is a financial trading firm focused on quantitative strategies and market-based trading.

What you will do

• Trade prediction markets using in-house models, data-driven insights, and automated tools.
• Design, implement, and refine trading strategies for execution, pricing, and market-making.
• Develop and maintain quantitative models, data pipelines, and trading tools.
• Collaborate with quantitative researchers and engineers to deploy model, data, and infrastructure improvements.
• Analyze trades, model performance, and market behavior to calibrate strategies.
• Identify pricing inefficiencies, liquidity patterns, and reaction-time opportunities in prediction markets.

Requirements

• Bachelor’s degree or higher in mathematics, statistics, computer science, physics, economics, or another technical or quantitative discipline.
• Deep expertise in and passion for sports such as football, soccer, or golf, including direct experience trading those markets.
• Strong Python skills, including Pandas, NumPy, data manipulation, statistical analysis, and automation.
• Experience trading or modelling in fast-moving, competitive markets such as prediction markets or exchanges.
• Strong quantitative reasoning, analytical, problem-solving, communication, and decision-making skills.
• Flexibility to work in line with global game, match, and tournament schedules.

Nice to have

• Experience integrating data and models into production trading workflows.
• Experience taking ownership of products, defining priorities, implementing features, and improving workflows end-to-end.

Culture & Benefits

• Immediate start available.
• Role combines hands-on trading, quantitative research, model development, and product ownership.
• Collaboration with quantitative researchers and engineers on trading technology and methodology.