Yiyun Wu
About Yiyun Wu
Yiyun Wu is a Data Analyst at Fannie Mae in the Washington D.C. Metro Area with a background in quantitative finance and data analysis.
Current Role at Fannie Mae
Yiyun Wu is currently employed as a Data Analyst at Fannie Mae. Located in the Washington D.C. Metro Area, this position leverages her expertise in data analysis and quantitative finance. Her role includes analyzing complex data sets to derive actionable insights, contributing to the overall strategy and financial decisions within the company.
Previous Experience in Quantitative Finance
Yiyun Wu gained experience as a Quantitative Developer Intern at QuantConnect in Seattle, Washington, where she spent a month in 2019. In this role, she developed quantitative financial models, utilizing her programming skills to enhance financial strategies. This hands-on experience fortified her capabilities in quantitative financial modeling.
Teaching Assistant Experience at Rutgers Business School
In 2019, Yiyun Wu worked as a Teaching Assistant at Rutgers Business School in Newark, New Jersey. For three months, she supported the academic environment by assisting with course content delivery, and student inquiries, and facilitating a deeper understanding of quantitative finance subjects. This role allowed her to refine her communication and instructional skills.
Educational Background in Quantitative Finance
Yiyun Wu holds a Master's degree in Quantitative Finance from Rutgers University - Newark, where she studied from 2017 to 2019. She also earned a Bachelor's degree in Financial Engineering from Hunan University, completing her studies from 2013 to 2017. Her educational background laid a solid foundation for her career in quantitative research and data analysis.
Quantitative Research Internship at Yansheng Technology
In 2018, Yiyun Wu served as a Quantitative Researcher Intern for two months at Yansheng Technology in Shanghai, China. During this time, she gained valuable experience in quantitative research, contributing to the development of financial models and strategies. Her internship provided practical insights into the applications of quantitative finance.