Xingru Deng
About Xingru Deng
Xingru Deng is a Data Analyst specializing in risk modeling at Fannie Mae, with a background in financial analysis and business intelligence.
Current Role at Fannie Mae
Xingru Deng is currently employed at Fannie Mae in the Washington DC-Baltimore Area as a Data Analyst/Risk Modeling specialist. In this role, Deng is involved in various significant projects, including cloud migration, API development, and modeling backend design. Specific contributions include automating MPT on AWS, creating a user-friendly infix syntax parser, and developing a feature selector using advanced algorithms like decision trees and random forest.
Previous Employment at Tiber Capital Group
Prior to joining Fannie Mae, Xingru Deng worked at Tiber Capital Group as a Senior Financial Analyst from 2019 to 2020. Located in Tysons Corner, McLean, this role saw Deng engaging in financial analysis and risk modeling projects, leveraging deep analytical skills acquired from prior experiences and education.
Educational Background
Xingru Deng holds two Master's degrees, one in Computer Science from the Georgia Institute of Technology (2020-2023) and another in Quantitative Finance from the University of Maryland (2016-2018). Additionally, Deng earned a Bachelor's degree in Management Science from Guangxi University (2012-2016). This diverse academic background has provided Deng with a robust foundation in technical skills and financial knowledge.
Internships and Early Career Experience
Xingru Deng has accumulated diverse early career experiences through internships and short-term roles. Notable positions include a Business Intelligence Intern at AutoGravity in Irvine, California (2018), and a Data Analyst Assistant Intern at PrivCo in the United States (2017). Deng also gained trading experience as a Trader Assistant Intern/Trainee at FXCM in Shanghai, China (2015) and management experience as a Lobby Manager/Customer Manager Assistant at China Everbright Bank in Guangzhou, China (2015).
Contributions at Fannie Mae
During the tenure at Fannie Mae, Xingru Deng has made noteworthy contributions to various projects. Deng played a key role in the SFM 3.0 release by implementing and testing new data preparation procedures under Agile methodology. Moreover, Deng maintained and developed the PDMM model simulation engine in R language, adapted the simulation driver for new business needs, and provided essential support to modelers. Additionally, Deng executed CAS analysis and other forecasting simulations, showcasing a strong capability in data-driven decision-making.