Quantitative Sports Trader | Flexible Hours & Market-Making

Trading Interview; Dublin; Hybrid; EUR 120,000 - 190,000; Full time

Job summary

Susquehanna International Group (SIG) is seeking a trading and quantitative strategy professional focused on prediction markets. You will trade using in‑house models, build data pipelines, and own models that drive performance.

The role blends hands‑on trading with research and product ownership; requires Python, Pandas/NumPy, and collaboration with researchers and engineers to advance tools and strategy. Flexible hours align with global schedules.

Qualifications

• Bachelor’s degree or higher in a technical or quantitative discipline.
• Deep domain expertise and passion for sports (Football, Soccer or Golf) with understanding of tactical, statistical, and market aspects.
• Strong Python experience with data manipulation (Pandas, NumPy) and automation.
• Experience integrating data and models into production trading workflows.
• Exceptional quantitative reasoning, analytical, and problem‑solving skills.
• Experience trading or modelling in fast‑moving, competitive markets (prediction markets, exchanges).
• Ability to operate across trading and quantitative research, bridging analytics with execution.
• Strong communication skills.
• Flexibility with working hours to align with global game schedules.

Responsibilities

• Trade using in‑house models, data‑driven insights, and automated tools to maximize expectancy and meet business objectives.
• Take ownership of trading strategies and associated models — designing, implementing, and refining logic for execution, pricing, and market‑making.
• Collaborate closely with quantitative researchers and engineers to identify, design, and deploy model enhancements, data features, and trading infrastructure improvements.
• Perform post‑trade analysis of decisions, model performance, and market behavior to inform strategy development and model calibration.
• Identify opportunities in prediction market dynamics — pricing inefficiencies, liquidity behavior, or reaction times — to strengthen the team’s edge.
• Drive innovation in trading methodology, tooling, and data usage across the trading and quantitative teams.

Skills

Python

Analytical thinking

Problem solving

Communication skills

Flexibility with hours

Education

Bachelor's degree in quantitative field

Tools

Pandas

NumPy

Job description

Susquehanna International Group (SIG) is seeking a trading and quantitative strategy professional focused on prediction markets. You will trade using in‑house models, build data pipelines, and own models that drive performance.

The role blends hands‑on trading with research and product ownership; requires Python, Pandas/NumPy, and collaboration with researchers and engineers to advance tools and strategy. Flexible hours align with global schedules.