Quantitative Latency Engineer - Data-Driven Trading Tech

Hudson River Trading is seeking a Quantitative Latency Engineer in Chicago. In this role, you'll analyze datasets to improve trading technology, collaborate across teams, and design experiments to optimize performance. A technical background is essential, with experience in Python and data analytics highly preferred. An estimated base salary of $200,000 to $300,000 annually is available, alongside an excellent benefits package, including performance bonuses. Join us to thrive in a culture valuing innovation and collaboration. #J-18808-Ljbffr