Quantitative Sports Researcher – Graduate Hire

<b>Overview</b> <br><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">At <span style="font-size: 10pt; font-family: Arial, sans-serif; color: #000000;"><span style="font-size: 10.0pt; font-family: 'Arial',sans-serif;">Susquehanna </span></span>, 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-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">In this role, you will</span></p><ul><li style="margin-bottom: .0001pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Immerse yourself in sports analytics research</span></li><li style="margin-bottom: .0001pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Empirically test ideas using real industry data</span></li><li style="margin-bottom: .0001pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Write programs to implement models and simulate outcomes</span></li><li style="margin-bottom: .0001pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Discuss and collaborate with fellow researchers, traders, and technologists</span></li></ul><br><b>What we're looking for</b><br><ul><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Graduating Master's or PhD students in a quantitatively-driven field</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Solid, analytical problem-solving skills and excellent logical reasoning</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Strong, practical computer programing skills</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Demonstrated experience working on sports analytics projects</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket)</span></li><li><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt; color: #000000;">Intermittent international travel may be required</span></li></ul><p style="margin: 0px;"> </p><p style="margin: 0px;"><strong>About Susquehanna</strong></p><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.</span></p><p style="margin: 0px;"> </p><p style="margin: 0px;"> </p><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><em>If you're a recruiting agency and want to partner with us, please reach out to <a href="mailto:[email protected]" target="_blank" rel="noopener">[email protected]</a>. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.</em></span></p><p style="margin: 0px;"> </p><p style="margin: 0px;"><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;"><em><span style="font-size: 11.0pt; font-family: 'Calibri',sans-serif;">#LI-Onsite </span></em></span></p>