ZestFinance Introduces Machine Learning Platform to Underwrite Millennials and Other Consumers with Limited Credit History

Today, ZestFinance announced the Zest Automated Machine Learning (ZAML) Platform for credit underwriting. ZAML enables lenders to analyze vast amounts of non-traditional credit data to increase approval rates and reduce the risk of credit decisions, particularly for thin-file and no-file borrowers like millennials. The platform also provides the ability to explain data modeling results to measure business impact and comply with regulatory requirements. The ZAML Platform is available today. Financial institutions, including banks, credit card issuers, auto financiers, and others, are under competitive pressure to increase revenues while managing risk and ensuring compliance.