First Federal implements Fico cloud for credit referencing

Source: Fico

FICO (FICO), the leading provider of predictive analytics and decision management technology, today announced that First Federal Savings Bank is implementing the FICO® LiquidCredit® service, a cloud-based instant credit decisioning solution, to speed consumer lending decisions.

The FICO solution will provide an immediate and cost-effective way for First Federal Savings Bank to measure consumer applicant risk for its auto, home equity and recreational loans.

As part of the FICO LiquidCredit service, First Federal Savings Bank is using FICO® Consumer Application Risk models. Built from FICO's analysis of a large pool of consumer loans, the models will help First Federal Savings Bank reduce delinquency and charge-off losses, approve more applicants, increase profitability, streamline operations, cut decision time and ensure regulatory compliance. Leveraging LiquidCredit as a cloud-based service, First Federal will be able to get instant decisions, based on both the models and user-defined strategies, without installing software.

"To maintain our strong market position, we feel it's important to offer complete lending services at all of our locations," said Kirby King, chief operating officer at First Federal Savings Bank. "Being able to automate the origination process and approve loans quickly and cost-effectively, while meeting regulatory requirements is critical for our customers and our branches."

"The consumer lending market is coming back to life, and with that comes greater competition," said Bill Waid, vice president of client services in North America at FICO. "Using FICO LiquidCredit, First Federal Savings Bank will be able to meet pent-up demand with faster approvals while pursuing its sustainable growth strategy as consumer borrowing picks up."

The FICO® LiquidCredit® service gives credit grantors an intelligent network for providing instant credit across any channel. It provides credit grantors with access to FICO's industry-leading analytic models, which analyze application, financial, consumer and business bureau data to drive better credit risk decisions. Using the LiquidCredit decision engine, credit grantors can realize greater profitability by booking more loans and cutting losses.

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