Min Sik Kim

Min Sik (Michael) Kim is a Quantitative Researcher at IMC Trading since February 2022, specializing in data-driven financial analysis. Prior experience includes serving as a Teaching Assistant for a Machine Learning course at Carnegie Mellon University, and as an Alpha Signal Research Analyst Intern at KEMNAY ADVISORY SERVICES INC, where significant contributions involved developing NLP models and deep learning frameworks for investment idea classification. Earlier roles featured research assistant positions at Korea Polar Research Institute and Seoul National University, focusing on functional principal component analysis and atmospheric chemistry modeling. An internship as an Intern Analyst at BDA Partners provided exposure to financial advisory services, while military service as a Sergeant in the Incheon International Airport Police involved leadership and counter-terrorism responsibilities. Min Sik holds a Master’s degree in Computational Finance from Carnegie Mellon University and a Bachelor's degree in Earth and Environmental Sciences with a double major in Statistics and minor in Financial Economics from Seoul National University.