Xiaolin Zhang
About Xiaolin Zhang
Xiaolin Zhang is a Senior Financial Analyst at the Federal Reserve Bank of New York, specializing in loan valuation and risk analysis. He holds a PhD in Plasma Physics from Rensselaer Polytechnic Institute and has extensive experience in financial modeling and analysis.
Current Role at Federal Reserve Bank of New York
Xiaolin Zhang serves as a Senior Financial Analyst at the Federal Reserve Bank of New York. He has held this position since 2012, contributing to the bank's financial operations for over a decade. His role involves developing and implementing financial models that support the bank's analytical needs. Zhang's expertise in quantitative finance enables him to specialize in loan valuation and risk analysis.
Previous Experience at Deutsche Bank
Prior to his current role, Xiaolin Zhang interned at Deutsche Bank in 2011 as an Analyst Intern. This internship lasted for two months and took place in Jersey City, NJ. During this time, he gained valuable experience in financial analysis and operations within a major banking institution.
Educational Background
Xiaolin Zhang has a robust educational background in engineering and finance. He earned a Bachelor's degree in Electrical and Electronics Engineering from Tsinghua University, where he studied from 1992 to 1997. He furthered his education with a Master's degree in Electrical and Electronics Engineering from the same institution from 1997 to 1999. Zhang also holds a Master's degree in Quantitative Finance from Rutgers University - Newark, completed between 2010 and 2012, and a PhD in Plasma Physics from Rensselaer Polytechnic Institute, which he obtained from 2000 to 2005.
Experience as Research Scientist at GE
Xiaolin Zhang worked as a Research Scientist at GE in 2007 for a duration of eight months in Shanghai, China. This role allowed him to apply his technical skills and knowledge in a research environment, contributing to projects that aligned with GE's innovation goals.
Technical Skills and Specializations
Xiaolin Zhang possesses strong technical skills in financial modeling and programming. He has developed financial models using various programming languages and tools, including MATLAB, C/C++, JAVA, and Excel VBA. His specialization in loan valuation and risk analysis positions him as a knowledgeable professional in the financial sector.