Izzy Huang

Izzy Huang is an experienced quantitative trading analyst and software engineer with a strong educational background from Northwestern University, holding both a Master of Science in Computer Science and a Bachelor of Science in Chemical Engineering. Current involvement as an Incoming Quant Trading Analyst at Chicago Trading Company follows previous roles as a Quant Trading Analyst Intern and a Returning Quant Trading Intern within the same organization, focusing on the VIG and Rusdaq teams. Experience also includes a Software Engineering Internship at Google in the cloud networking infrastructure team, alongside a Data Engineer Internship at Fresenius Kabi within the AmiCORE apheresis team. Furthermore, Izzy Huang has engaged in academic research as a Student Researcher in both the Leonard Lab and Malapit Lab at Northwestern University.