Tailun Song
About Tailun Song
Tailun Song is a Financial Data Engineer at Fannie Mae with a diverse educational background and experience in both the US and China.
Title
Tailun Song is currently positioned as a Financial Data Engineer at Fannie Mae. He has been serving in this role since May 2018 in the Washington DC-Baltimore area.
Professional Experience
Tailun Song's professional journey spans multiple roles across notable companies. Before his current role at Fannie Mae, he worked as a Technology Engineering Intern at Dun & Bradstreet in Short Hills from 2016 to 2017. He also had internships at China Unicom and Beijing University of Posts and Telecommunications in Beijing, China, during 2014. These varied experiences contributed to his strong foundation in financial data engineering and technology.
Education and Expertise
Tailun Song holds a Master's degree in Business Intelligence & Analytics from Stevens Institute of Technology, completed between 2015 and 2017. He also earned a Bachelor's degree in E-Commerce Engineering with Law from Queen Mary University of London and Beijing University of Posts and Telecommunications, a joint program he completed from 2011 to 2015. His diverse academic background equips him with specialized knowledge in business intelligence, analytics, e-commerce engineering, and law.
International Experience
Tailun Song has accumulated a wealth of international experience, having worked in both the US and China. His internships at China Unicom and Beijing University of Posts and Telecommunications in Beijing provided him with early career exposure, while his role at Dun & Bradstreet in the US helped broaden his expertise in technology engineering.
Company
Fannie Mae, where Tailun Song currently works as a Financial Data Engineer, operates in the Washington DC-Baltimore area. The company plays a crucial role in providing reliable and affordable housing finance in the United States.