Quantitative Python Developer

Overview Susquehanna is a global privately held financial trading firm. Our founders are entrepreneurs with a drive to deeply understand the world around us and to use that understanding to make the best business decisions every day, everywhere. We don’t rely on hunches. We challenge each other and use our collective wisdom to make optimal decisions under conditions of uncertainty. This approach gives us the edge we need to be the best. At Susquehanna, we have winning down to a science. What you’ll do As a Quantitative Developer you will be closely working with traders, quant analysts, and trading strategy developers to : Develop, maintain and deploy analytical tools (Python) that will directly influence trading strategies. Source, cleanse, develop and maintain data pipelines as required the trading teams. Experience with processing of large and varied data sets Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets. What we're looking for Experience with the Python data science stack : NumPy, Pandas etc. Experience with numeric data storage methodologies, e.g., hdf5 Experience of working in a Linux environment Strong knowledge in computer networking, e.g., UDP, multicasting Ability to understand financial models and mathematical algorithms. Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers. Experience or interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus. What’s in it for you Real Impact : As an essential member of the team, your role involves supporting, innovating, and optimising systems processing and models using massive amounts of data, all while ensuring high performance and stability. You’ll see how your contributions towards supporting leading-edge hardware and software technologies make a firm-wide impact that makes us all smarter, faster, and better. Collaboration : You will partner closely with our Trading, Quantitative Research, Infrastructure and Strategy Developer Teams to develop and manage scalable and highly performant systems to support trading in the region. Growth : We’re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow. Benefits : Susquehanna offers a wide array of competitive employee perks & benefits Explore our benefits and culture : link About Susquehanna 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. What we do We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class. Equal Opportunity Statement We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities. If you're a recruiting agency and want to partner with us, please reach out Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee. #J-18808-Ljbffr