Yinaze Dovoedo
About Yinaze Dovoedo
Yinaze Dovoedo is a Senior Model Validation Analyst at Ally Financial Inc. with extensive experience in risk management and strong programming skills.
Title
Yinaze Dovoedo holds the title of Senior Model Validation Analyst at Ally Financial Inc.
Current Position at Ally Financial Inc.
Yinaze Dovoedo has been a Senior Model Validation Analyst at Ally Financial Inc. since 2016. In this role, he is responsible for ensuring the accuracy and reliability of financial models. Based in Detroit, Michigan, his work focuses on the rigorous validation processes needed to uphold industry standards.
Previous Positions
Prior to his current role, Yinaze Dovoedo served as an Assistant Professor of Mathematics at the University of North Alabama from 2011 to 2016. He was also a Research Team Member at Regions Bank from 2008 to 2009. Earlier in his career, he was a Teaching Assistant at The University of Alabama from 2007 to 2011 and a Research Assistant at Indiana University of Pennsylvania from 2005 to 2006. Additionally, he instructed mathematics at Kango High School and 'akpakpa Centre' High School.
Educational Background
Yinaze Dovoedo earned his Doctor of Philosophy in Applied Statistics from The University of Alabama, where he studied from 2007 to 2011. He holds a Master of Science in Mathematics from Indiana University of Pennsylvania, achieved in 2006. He also earned a Bachelor of Science in Mathematics from Université Nationale Du Bénin, where he studied from 1991 to 1996.
Expertise in Risk Management
Yinaze Dovoedo has extensive experience in risk management, with particular focus on Credit Risk, Market Risk, and Operational Risk. His role as a Senior Model Validation Analyst involves using his quantitative skills to address and manage complex risk challenges. His contributions include validating financial models and ensuring their reliability and accuracy.
Programming Skills in Business Analytics
Yinaze Dovoedo possesses strong programming skills utilized in Business Analytics and Data Science. These skills contribute significantly to his ability to effectively analyze and validate financial models and data. His experience includes integrating robust programming techniques to enhance analytical processes.