Quantitative Sports Researcher | Experienced Hire, Dublin Pike

Overview At Susquehanna, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision‑makers about the distribution of game events. By joining our Sports Analytics team, you will be part of a group that is passionate about mathematics, gaming, and technology.

Responsibilities

Immerse yourself in sports analytics and quantitative trading research

Empirically test ideas using real industry data

Write programs to implement models, and strategies

Collaborate with fellow researchers, traders, and technologists

Spend time trading to understand how models are used in practice and how traders think and operate, ensuring model development is grounded in real‑world insight

Occasionally provide off‑hour coverage, which may include evening or weekend shifts, while developing this understanding and when deploying or testing new models / strategies

What we’re looking for

Strong quantitative and analytical skills, with a background in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics (advanced degree a strong plus but not required)

Excellent logical reasoning and problem‑solving skills

Exceptional communication skills, with the ability to both understand others and clearly express your ideas

Experience writing code to process and analyze large sets of data

Demonstrated experience working on sports analytics projects or other quantitative projects

Familiarity with sports such as NFL, NBA, MLB, NHL, NCAAF, NCAAM, soccer, tennis, or golf, as well as trading experience, is a plus but not required

Intermittent international travel may be required

Visa sponsorship for work authorization is not available for this position now or in the future

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