Summary
Christopher Rorvick is a quantitative technologist with over a decade of experience building low-latency trading systems and infrastructure for automated markets. He has spent eight years focused specifically in finance, currently applying his expertise at Radix Trading after prior roles at KCG, Cognitive Capital, and TradeLink where he led development of distributed trading platforms and execution systems. Christopher combines deep systems-level knowledge—dating back to kernel- and security-level work early in his career—with practical production chops in Java and large-scale data processing from roles like managing terabyte-scale e-discovery labs. He is comfortable across the stack, from signal implementation and order execution to the infrastructure that keeps latency predictable and systems resilient. Based in Naperville, IL, he brings a steady track record of translating complex trading requirements into reliable, high-performance software. Notably, his background spans both financial algorithms and the operational side of running mission-critical environments, giving him a rare blend of quantitative and systems engineering perspective.
13 years of coding experience
13 years of employment as a software developer
University of Illinois Urbana-Champaign