Quantitative Sports Researcher | Experienced Hire

<b>Overview</b> <br><p style="margin: 0px;"><span style="font-size: 10pt;">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.</span></p><p style="margin: 0px;"> </p><p style="margin: 0px;"><span style="font-size: 10pt;">In this role, you will: </span></p><ul><li><span style="font-size: 10pt;">Immerse yourself in sports analytics and quantitative trading research</span></li><li><span style="font-size: 10pt;">Empirically test ideas using real industry data</span></li><li><span style="font-size: 10pt;">Write programs to implement models, and strategies  </span></li><li><span style="font-size: 10pt;">Collaborate with fellow researchers, traders, and technologists</span></li><li><span style="font-size: 10pt;">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</span></li><li><span style="font-size: 10pt;">Occasionally provide off-hour coverage, which may include evening or weekend shifts, while developing this understanding and when deploying or testing new models / strategies</span></li></ul><p style="margin: 0px;"> </p><br><b>What we're looking for</b><br><ul><li><span style="font-size: 10pt;">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)</span></li><li><span style="font-size: 10pt;">Excellent logical reasoning and problem-solving skills</span></li><li><span style="font-size: 10pt;">Exceptional communication skills, with the ability to both understand others and clearly express your ideas</span></li><li><span style="font-size: 10pt;">Experience writing code to process and analyze large sets of data</span></li><li><span style="font-size: 10pt;">Demonstrated experience working on sports analytics projects or other quantitative projects</span></li><li><span style="font-size: 10pt;">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</span></li><li><span style="font-size: 10pt;">Intermittent international travel may be required</span></li><li><span style="font-size: 10pt;">Visa sponsorship for work authorization is not available for this position now or in the future</span></li></ul><p style="margin: 0px;"> </p><p style="margin: 0px;"><span style="font-size: 10pt;">If you're a recruiting agency and want to partner with us, please reach out to [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.</span></p><p style="margin: 0px;"> </p>