CBA Team Contact
Includes a Live Event on 11/20/2019 at 2:00 PM (EST)
ABOUT THE WEBINAR:
Recent consumer credit reporting advances make trended 24-month credit history available, reshaping credit score model development and providing the latest consumer credit behavioral insights. Learn how trended credit data can help score more consumers, more accurately.
THIS WEBINAR WILL COVER:
TOP 3 BENEFITS TO ATTENDEES:
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Dr. Emre Sahingur leads VantageScore Solution’s deep bench of seasoned data scientists. The team is most recently responsible for developing VantageScore 4.0, which is the first and only tri-bureau credit scoring model to use trended credit data and to leverage machine learning in the development of model attributes to reliably and accurately score those with limited credit histories.
Prior to VantageScore, Dr. Sahingur also served as the Chief Risk Officer for Model Risk Management at Fannie Mae in Washington D.C., where he served in several senior risk and analytics roles since 2010.
In this role, Dr. Sahingur led a team of 35 risk management professionals, with full accountability for establishing the risk appetite and framework for assessing, measuring and monitoring model risks, as well as independent review and approval of all models used across the enterprise.
Dr. Sahingur also held senior positions at Capital One Financial Services, most recently as senior director for credit risk management. While in that role he managed a spectrum of risk- and fraud-related responsibilities across the firm’s $60 billion credit card and unsecured loan operation.
Dr. Sahingur received his PH.D. in finance from the State University of New York - Buffalo and an M.B.A. from the State University of New York – Binghamton. He received a Bachelor of Science degree in industrial engineering from Istanbul Technical University in Turkey. Most recently, Dr. Sahingur completed the Executive Development Program at Harvard Business School.
Nick Rose is a Senior Scientist at VantageScore Solutions, a credit scoring model developer. As an architect of the VantageScore credit scoring models, he has created and implemented advanced statistical models for the company using his skills in model design, decision analysis, data mining and pattern recognition. He also is responsible for analyzing data sets from multiple sources and providing forecasts, market trend analysis, risk and operating improvements. Specializing in research and modeling on consumers with sparse credit files and disparate impact, he most recently and successfully leveraged machine learning techniques to develop a highly predictive rank ordering capability for universe expansion population. With a Ph.D in statistics from Texas A&M and a business background, he has fueled a career in the research and analytics field for 15 years, empowering companies such as BAI Research, Intel and JP Morgan Chase.