CBA Team Contact
Ethan Dornhelm, Vice President, Scores and Predictive Analytics, FICO
Tom Parrent, Principal, Quantilytic
ABOUT THE WEBINAR:
Join Ethan Dornhelm and Tom Parrent as they discuss common pitfalls and challenges that surface when validating credit scores, and ways to address them. Failure to address these issues can lead to inaccurate conclusions about the credit scores being evaluated. Ethan will highlight potential validation hazards such as ‘home court advantage’ in the data, while Tom will speak to the dangers of ‘home court disadvantage’, with specific application to mortgage lending.
THIS WEBINAR WILL COVER:
TOP 3 BENEFITS TO ATTENDEES:
1. Deeper understanding of credit score validation best practices
2. Deeper understanding of pitfalls to watch out for when assessing credit scores
3. Ensure that your future credit score validations yield more reliable and accurate conclusions
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Ethan Dornhelm, Vice President, FICO Scores and Predictive Analytics, leads the research and analytic development of FICO® Scores globally. Ethan is responsible for enhancing the predictive power of the core product line as well as researching alternative data sources, emerging analytic methodologies and machine learning techniques in the development of new scoring products.
Ethan has spent much of his 17 years at FICO supporting the technical development, maintenance and analytic support of FICO® Scores in North America.
Prior to FICO, Ethan served as a Director in the credit risk management group at American Express.
Tom Parrent has deep executive experience across multiple specialties in financial services. His particular strengths include risk management, quantitative analysis, process improvement and behavioral economics. Parrent has served as Chief Risk Officer at three major mortgage firms and has extensive experience in government, rating agency and regulatory relations, crisis management and innovative statistical analysis. He has a Bachelor’s degree in Economics from Princeton University and an MBA in Finance and Statistics from the University of Chicago.