A leading sports analytics firm is seeking a Senior Software Developer to design and maintain a next-gen analysis and trading platform. The role requires strong proficiency in C#, experience with Agile methodologies, and interest in sports trading. Responsibilities include system design, order sending system development, and data integration. This position offers a collaborative environment with growth opportunities and excellent benefits. #J-18808-Ljbffr
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. In this role, you will: 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 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. #J-18808-Ljbffr
Overview At Susquehanna Sports we specialise in geopolitical and sports analytics across the globe. This is an opportunity to build out a next gen sports trading system within an early-stage initiative focused on influential product development. At Susquehanna Sports, technology is at the forefront of everything we do, requiring cutting-edge and innovative technology expertise. Our technologists at Susquehanna Sports enjoy working on highly complex in-house software that runs on the most modern platforms available, solving a wide range of problems to help us grow. Susquehanna Sports is backed by our industry leading trading business and we’re introducing an initiative that will revolutionize the industry. Our people continue to grow and learn throughout their careers as market demands change the nature of our environment, thanks to our flat structure and collaborative environment. Join us and be part of a collaborative team that values continuous learning and growth. Are you passionate about sports wagering and trading? Do you thrive in a fast-paced, dynamic environment where innovation is at the forefront? If so, we have an exciting opportunity for you! What You’ll Do: As a Senior Software Developer at Susquehanna Sports, you will play a crucial role in designing, coding, and maintaining our next gen analysis and trading platform. You will work closely with Quantitative Researchers and other developers to: Design and architect complex systems and software solutions from scratch. Build out an order sending system that will allow us to trade at scale, in many sports leagues across multiple exchanges. Integrate reference file and streaming data feeds from multiple vendors. Develop data recording and price evaluation tools. Deliver interactive presentations for business users and stakeholders. Participate in the full software development life cycle, including building, testing and production deployment Why Join Us? Innovative Environment: Work on a mixture of highly complex in-house software using the latest platforms. Growth Opportunities: Continuous learning and career development in a flat, collaborative structure. Mentorship: Work with industry veterans and technical experts who are passionate about mentoring and sharing their knowledge. Perks: Excellent salary, benefits, and opportunities to attend world sporting events. Team: Join a small but growing team of skilled and passionate researchers, quants, and developers. Impact: Have a direct impact on technology decisions and contribute to the growth of industry What we’re looking for Experience : Proven success in server-side software development, system design and technical event-driven architecture. Skills : Strong proficiency in C# with previous Python experience and a solid understanding of Agile development methodologies. Experience with Kafka, Kubernetes and Cloud Computing is highly desired. Education : MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level. Interests : A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred. Attributes : Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills. #J-18808-Ljbffr
A global trading firm located in Dublin is looking for a passionate individual to join their Sports Analytics team. In this role, you will engage with quantitative trading research and contribute to developing statistical models that inform trading strategies. The ideal candidate possesses strong analytical skills and coding experience, with a solid understanding of sports analytics. This position requires effective communication and the ability to work collaboratively within a dynamic team. #J-18808-Ljbffr
