David Monaco
About David Monaco
David Monaco is the Lead Associate for Single Family Product Analysis at Fannie Mae in the Washington D.C. Metro Area. He has over 20 years of experience in the region, specializing in building and analyzing large-scale databases related to financial, statistical, and legal issues.
Current Role at Fannie Mae
David Monaco is currently the Lead Associate – Single Family – Product Analysis – SF Analytics at Fannie Mae in the Washington D.C. Metro Area. His position involves leading product analysis and analytics for the Single-Family division, focusing on data-driven insights and strategies within the organization.
Previous Experience at PwC and Synectics for Management Decisions
Before joining Fannie Mae, David Monaco worked at PricewaterhouseCoopers (PwC) as a Senior Associate for five years, from 1997 to 2002. Earlier in his career, he was a Consultant at Synectics for Management Decisions, Inc. for three years, from 1994 to 1997. These roles provided him with a solid foundation in consulting and financial analysis.
Academic Background in Mathematics and Statistics
David Monaco has a strong academic background with a Bachelor of Arts in Mathematics from Grinnell College, which he obtained from 1987 to 1991. He furthered his education by achieving a Master's degree in Statistics from North Carolina State University between 1992 and 1994. His academic training laid the groundwork for his expertise in statistical and mathematical analysis.
Career Journey at Fannie Mae
David Monaco began his career at Fannie Mae in 2002 as Economist III, a position he held for 17 years until 2019. During his tenure as an economist, he contributed significantly to the organization's analytical and economic functions. His long-standing experience at Fannie Mae equipped him with deep insights into the housing finance sector.
Expertise in Financial and Statistical Analysis
With over 20 years of experience in the Washington D.C. Metro Area, David Monaco specializes in building and analyzing large-scale databases related to financial, statistical, and legal issues. His proficiency in handling complex data and deriving actionable insights has been a cornerstone of his professional journey.