Paul Lee

Paul Lee is a quantitative trader at Geneva Trading since August 2022, specializing in mean reversion strategies for futures on CME/ICE/Eurex, utilizing KDB, QSql, and Python for backtesting and monitoring. Previously, from December 2021 to July 2022, Paul worked as a junior trader at Diffuse Inc, focusing on generating alpha by integrating traditional and crypto markets while producing trade ideas and quantitative models. Paul has software engineering experience from AT&T, where responsibilities included building microservices with Spring Boot and deploying them using Jenkins and Kubernetes, as well as contributions at iVoyant and Redis Labs, enhancing .NET interfaces for Redis Enterprise MemDBs. Paul holds a Bachelor's degree in Computer Science and a minor in Economics from Duke University.