Peter Feng

Background

About Peter Feng

As an ALM Risk Analyst II at CIBC, I apply my data analysis and science skills to measure and manage the bank's interest rate and liquidity risks. I also have a Master of Science in Financial Mathematics from the University of Chicago and I graduated in 2022. I worked as a Quantitative Research Intern at EY, collaborating with a team of researchers and consultants to develop and test innovative solutions for financial services clients. Additionally, I was a Quantitative Research Assistant at UC Santa Barbara, where I conducted data analysis and econometric modeling for various research projects. I have proficiency in Python, C++, and R programming languages, as well as other tools and frameworks for data science. I am passionate about applying my quantitative and analytical skills to solve complex and challenging problems in the financial industry. I strive to deliver high-quality results, learn from feedback, and collaborate with diverse and talented teams.