Matthew Moore
About Matthew Moore
Matthew Moore is a Senior Economist at Ally Financial, with extensive experience in econometric modeling and economic analysis.
Current Position at Ally Financial
Matthew Moore has been serving as a Senior Economist at Ally Financial since 2009. In this role, he presents economic insights to high-level committees, including the Assets and Liabilities Committee and the Market Risk Committee. Additionally, he plays a key role in compliance with Federal Reserve guidelines, particularly focusing on country risks for regions such as Austria, Bermuda, Canada, China, Germany, Switzerland, and the UK. Moore also produces release commentary on U.S. economic releases for Ally’s Capital Markets and Treasury functions and authors the weekly U.S. Economic Update publication.
Previous Experience at Banc of America Securities
Before joining Ally Financial, Matthew Moore worked as a Senior Economist at Banc of America Securities from 2003 to 2009. During his tenure, he developed and validated econometric models for various economic indicators, including gasoline prices, mortgage rates, and used vehicle sales. His role also involved critical analyses of seasonal factors that impacted the financial markets.
Academic Career at Princeton University
Matthew Moore served as a Lecturer at Princeton University from 1999 to 2003. During his time at the institution, he was involved in the academic instruction of economics. His responsibilities included teaching, developing curricula, and mentoring students in the field of economics.
Educational Background
Matthew Moore completed his advanced studies at Princeton University, earning an M.A. in Economics from 1998 to 2003. Prior to that, he obtained a B.A. in Economics and Math from the University of Virginia, where he studied from 1995 to 1998. His education laid a strong foundation for his subsequent roles in both academia and the financial sector.
Expertise in Econometric Models
Throughout his career, Matthew Moore has developed and validated various econometric models, particularly for gasoline prices, mortgage rates, used vehicle sales, and seasonal factors. His expertise in this area has been crucial for deriving valuable economic insights and making informed decisions in the financial sector.