Peng Song
About Peng Song
Peng Song is a Quantitative Modeling Lead Associate at Fannie Mae in the Washington DC-Baltimore Area. He has extensive experience in analytics and modeling, having previously worked at Wells Fargo, Bank of America, SAS, and the US EPA.
Current Position at Fannie Mae
Peng Song is currently employed at Fannie Mae as a Quantitative Modeling Lead Associate in the Washington DC-Baltimore Area. He joined the company in October 2021. In this role, Peng Song is responsible for leading quantitative modeling initiatives, contributing to data-driven decisions, and enhancing the overall modeling capabilities of the organization.
Previous Experience at Wells Fargo
Before joining Fannie Mae, Peng Song worked at Wells Fargo as an Analytic Consultant for one year, from 2020 to 2021. During his tenure at Wells Fargo in New York, United States, Peng Song was involved in delivering analytical insights and solutions to support various business functions.
Role at Bank of America
Peng Song served as a Consumer Behavior Modeler at Bank of America in Wilmington, Delaware, for seven years, from 2013 to 2020. In this role, he focused on modeling consumer behavior to inform and optimize marketing strategies, credit risk assessments, and customer engagement initiatives.
Analytic Software Testing at SAS
In 2012, Peng Song worked at SAS as an Analytic Software Tester for three months. Based in Cary, NC, he was involved in testing and validating analytic software to ensure accuracy, reliability, and usability for end-users.
Early Career at US EPA
Peng Song gained early professional experience working as a Student Contractor at the US Environmental Protection Agency (EPA) from 2009 to 2010. Located in Research Triangle Park, NC, he contributed to various projects, leveraging his quantitative and analytical skills.
Educational Background and Expertise
Peng Song holds a PhD in Operations Research with a minor in Statistics from North Carolina State University, completed from 2010 to 2013. He also earned a Master’s degree in Operations Research from the same university, studying from 2008 to 2010. Additionally, he has a Bachelor of Science (BS) in Statistics from Nankai University, achieved between 2004 and 2008. This solid educational foundation has equipped Peng Song with extensive expertise in quantitative analysis, statistical modeling, and operations research.