Quantitative Sports Trader

Trading Interview; Dublin; On-site; 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

This is a trading and quantitative strategy role focused primarily on trading on prediction markets. You will make fast, informed trading decisions while developing and maintaining the quantitative models, data pipelines, and tools that drive trading performance. The role blends hands‑on trading with quantitative research, model development, and product ownership — ideal for someone who thrives at the intersection of markets, analytics, and technology.

In this role, you will:

• 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.

What we’re looking for

• Bachelor’s degree or higher in a technical or quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Economics).
• Deep domain expertise and passion for sports such as Football, Soccer or Golf, including understanding of tactical, statistical, and market aspects of the sport and direct experience trading them.
• Demonstrated ability in Python, including strong experience with data manipulation (Pandas, NumPy), statistical analysis, and automation.
• Experience integrating data and models into production trading workflows is a strong plus.
• Exceptional quantitative reasoning, analytical, and problem‑solving skills.
• Experience trading or modelling in fast‑moving, competitive markets (prediction markets, exchanges, or similar).
• Ability to operate across both trading and quantitative research, bridging analytical insight with execution.
• Comfort taking product ownership— defining priorities, implementing features, and improving workflows end‑to‑end.
• Strong communication skills, both for collaboration and articulating decision rationale.
• Flexibility with working hours to align with global game/match/tournament schedules.

This description was published by Susquehanna International Group (SIG). Applications are handled on their careers site: we are not the employer and cannot process them.

SIG is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. As one of the largest proprietary trading firms in the…