Overview This is a trading role in which you will be making quick decisions to trade a wide swath of sports and political products using in house models and technology.What you'll do:Trading mainly American sports – NFL, NBA, MLB, Tennis, NCAAF, NCAAB, football (soccer)Running and maintaining strategies to trade pregame and in-game to maximize expectancy (and other business objectives)Analyzing and recapping past decision making to improve future trading decisionsNoting interesting trading and market dynamics to suggest areas of research for the quant teamBrainstorming useful strategies and features to improve future trading What we’re looking for Minimum of a Bachelor’s degree, preferably in a technical discipline such as mathematics, statistics, computer science, physics, economics, etc.Interest in some subset of – NFL, NBA, NCAAF, NCAAM, soccer, tennis, or baseballExceptional quantitative, logical reasoning, and analytical skillsAbility to work under pressure in a fast-paced environmentWillingness to be flexible with hours and scheduleKnowledge of data manipulation libraries such as Pandas/NumPy is a plusAbility to recap and analyze thought processes, trading situations, and market dynamics for future analysisStrong interpersonal and communication skillsVisa sponsorship for work authorization is not available for this position now or in the futureAbout SusquehannaSusquehanna 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.If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.#LI-MG1#LI-OnsiteJob SummaryExperience Level: Experienced ProfessionalsJob Categories: Sports Analytics
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