Maria Bulycheva
About Maria Bulycheva
Maria Bulycheva is the Director of Quantitative Modeling, Data Science at Fannie Mae, with extensive experience in credit risk and real estate data analysis.
Title
Maria Bulycheva is the Director of Quantitative Modeling, Data Science at Fannie Mae, located in the Washington DC-Baltimore Area. In this role, she has been leading the Quantitative Modeling and Data Science team since November 2009.
Current Position at Fannie Mae
Maria Bulycheva is currently working as the Director of Quantitative Modeling, Data Science at Fannie Mae. Her work involves developing and leading projects in quantitative modeling and data science, with a focus on Automated Valuation Models (AVMs) and House Price Models. Her expertise includes developing fraud detection systems for real estate property data and utilizing SAS software for data science and quantitative analysis.
Past Experience at Standard & Poor's
Maria Bulycheva worked at Standard & Poor's as an Associate Director in the Quantitative Analytics and Research Group for Residential Mortgage-Backed Securities (RMBS) from 2008 to 2009 in London, United Kingdom. In this capacity, she focused on quantitative analysis and research pertaining to RMBS.
Past Experience at JPMorgan Chase
From 2004 to 2007, Maria Bulycheva served as a Senior Analyst and Vice President at JPMorgan Chase in the Washington DC-Baltimore Area. Her role involved working on credit risk models and quantitative analysis, with a specific focus on real estate and mortgage-backed securities.
Educational Background
Maria Bulycheva earned her PhD in Economics from Wayne State University, where she also worked as a Graduate Teaching Assistant from 1994 to 1999. She completed her master's degree (MS) in Economics from Lomonosov Moscow State University (MSU) from 1988 to 1993.