Daniel Pastros
About Daniel Pastros
Daniel Pastros serves as the Investment Analytics Manager at PRA Group, where he leads a team that values over 300 deals annually and develops forecast models to mitigate modeling risk. He holds a Bachelor of Science in Business Administration with a focus on Finance and Business Analytics from Strome College of Business.
Work at PRA Group
Daniel Pastros has served as the Investment Analytics Manager at PRA Group since 2016. In this role, he leads a team that is responsible for valuing over 300 deals annually in asset valuations. His responsibilities include overseeing the development of forecast models aimed at reducing modeling risk and enhancing insights. Additionally, he consults with executives on portfolio and deal decisions, focusing on asset value, risk, and sensitivity.
Education and Expertise
Daniel Pastros has a strong educational background in business and finance. He studied at Strome College of Business, where he earned a Bachelor of Science in Business Administration (B.S.B.A.) with Magna Cum Laude honors from 2014 to 2016. Prior to that, he obtained an Associate of Science (A.S.) in Business Administration and Management from Tidewater Community College, graduating Cum Laude from 2011 to 2014. He also studied Carpentry at Virginia Beach Technical and Career Education Center, achieving certification from 2008 to 2010.
Background
Before joining PRA Group, Daniel Pastros gained experience in educational roles. He worked as a Peer Education Program Tutor at Old Dominion University from 2015 to 2016 in the Norfolk, Virginia area. Additionally, he served as an Advancement via Individual Determination (AVID) Tutor at Virginia Beach City Public Schools from 2014 to 2016. These positions contributed to his development of analytical and educational skills.
Achievements
In his current position at PRA Group, Daniel Pastros has successfully led a team that values a significant number of deals annually, demonstrating his expertise in investment analytics. His work in developing forecast models has contributed to reducing modeling risk and enhancing insights within the organization. His academic achievements, including graduating with honors, reflect his commitment to excellence in his field.