Fan Wang
About Fan Wang
Fan Wang is a Quantitative Policy and Analysis Associate at the Federal Reserve Bank of New York, where he has worked since 2013. He holds a Master of Quantitative Finance from Rutgers University and a Master of Science in Computer Science from the University of Oregon.
Current Role at Federal Reserve Bank of New York
Fan Wang serves as a Quantitative Policy and Analysis Associate at the Federal Reserve Bank of New York. In this role, which began in 2013, Wang focuses on quantitative analysis to support policy decisions. The position is based in the Greater New York City Area, where Wang has accumulated over a decade of experience in economic analysis and policy formulation.
Previous Experience at Tough Mudder LLC
Prior to joining the Federal Reserve, Fan Wang worked as a Data Analyst at Tough Mudder LLC from 2012 to 2013 in New York. During this year-long tenure, Wang was responsible for analyzing data to inform business strategies and operational improvements.
Educational Background in Computer Science and Finance
Fan Wang holds a Master of Science in Computer Science from the University of Oregon, where studies were completed from 2008 to 2010. Following this, Wang pursued a Master of Quantitative Finance at Rutgers, The State University of New Jersey-Newark, graduating in 2011. Wang also earned a Bachelor of Science in Computer Science from Beijing Normal University between 2002 and 2006.
Experience as Database Assistant at Rutgers Business School
In 2011, Fan Wang worked as a Database Assistant at Rutgers Business School for seven months. In this role, Wang generated financial reports, including balance sheets, profit and loss statements, and cash flow reports on a monthly basis, contributing to the school's financial management.
Role at Ausenco PSI as System Engineer & Project Assistant
Fan Wang's professional journey includes a position at Ausenco PSI in Beijing, China, where Wang served as a System Engineer and Project Assistant from 2007 to 2008. Responsibilities included maintaining and customizing system reports using SQL Server, Crystal Report, and MS Management Reporter, as well as validating and integrating financial data from various databases.