Let PAG build a new underwriting model which could include scorecards, strategies and/or credit policy to help grow your business while taking on the least amount of risk possible.
Relevant Data, Articles, and Case Studies:
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Predictive Data Analytics: The Key to Optimizing Your Underwriting Strategy
A regional fintech lending to mid-to-high risk consumers in 24 states recently asked us to help update its 2-year-old strategy for line assignments, risk-based pricing, and decisioning and expand beyond its use of generic data sources that were not performing to management expectations. We connected the client to four data providers to obtain retro data…
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Fintech kicks off card program using GOBLIN platform to merge four data streams
Challenge: One of PAG’s clients – a medium-sized fintech with a long history of customer loyalty – wanted to enter the U.S. card market to leverage its strong customer relationships. The client also had good data history on their customers through its non-card products, but it was in multiple legacy systems and the data was…
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Profitability pressure forcing banks to review their underwriting strategies
By David LaRoche Credit card issuers – whether they’re lending to a broad consumer base or to the customers of affinity partners – are facing challenges ranging from rising delinquencies, pressure from partners that don’t want to alienate their fans and customers with low approval rates, and a desire to mitigate risk. For the past…
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PAG helps Top 10 card issuer rebuild its outdated customer score model
Company: Top 10 Credit Card Issuer – US Co-Brand & Branded Challenge:Company has greater than 30 co-brand partner portfolios and several branded portfolios. Over the last six years, their underwriting strategies were using an older version of FICO and a custom score built in 2013. They have a very light staff of risk-management analysts to…