John Huff
About John Huff
John Huff is a Senior Data Analyst specializing in Modeling and Analytics at The Oakleaf Group, where he has worked since 2016. He has extensive experience in financial engineering and data analysis, having held various positions at notable firms such as Fannie Mae and Smith Breeden Associates.
Current Role at The Oakleaf Group
John Huff serves as a Senior Data Analyst in Modeling & Analytics at The Oakleaf Group. He has held this position since 2016, contributing to the firm's analytical capabilities from Chevy Chase, MD. His role involves integrating diverse data sources and supporting firm-specific workflows through advanced data processing techniques.
Previous Experience at Fannie Mae
John Huff worked as a Senior Financial Engineer at Fannie Mae from 2011 to 2013. During his tenure in the Washington D.C. Metro Area, he focused on financial engineering tasks that supported the organization's operations and analytics.
Background in Financial Engineering
Before joining Fannie Mae, John Huff was a Senior Financial Engineer at The Oakleaf Group for seven months in 2010. His experience includes roles at Smith Breeden Associates, where he served in various capacities, including Information Architect and Data Warehouse Developer from 1999 to 2002, and as a Quantitative Research Associate from 1995 to 1997.
Education and Expertise
John Huff holds a Master of Science in Computational Finance from Carnegie Mellon University, which he completed from 1994 to 1995. He also earned a Bachelor of Arts in Physics from Wittenberg University between 1983 and 1987. His expertise includes integrating data with financial systems, implementing fixed income risk analysis, and collaborating with PhD modelers.
Skills in Data Management and Analysis
John Huff is skilled in designing data structures and processing data for enterprise-level reporting. His experience includes working as a Software Developer/Analyst at Treliant Risk Advisors and as a Quantitative Finance Software Developer at Genworth Financial. He has a strong background in supporting research and portfolio management through quantitative analysis.