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FICO Loan Origination Solution Awarded Best-in-Class

FICO

We are thrilled and honored to be recognized by Aite Group as best in class and the overall rankings leader for our Loan Origination Solution. For nearly 50 years, FICO has pioneered intelligent credit origination powered by world-class analytics. Product Features. Client Service. Report Overview.

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How to Build Credit Risk Models Using AI and Machine Learning

FICO

Which works better for modeling credit risk: traditional scorecards or artificial intelligence and machine learning? Take, for example, our new credit decisioning solution, FICO Origination Manager Essentials – Small Business. It’s designed to help lenders make faster origination decisions without increasing risk.

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Collections Analytics: Are We Missing the Credit Risk Revolution?

FICO

Having worked in credit risk for most of my career during the revolution in analytics, it continues to concern me that the collections and recoveries (C&R) divisions of banks seem to be left behind. Innovations in credit risk analytics that have been widely adopted in other risk areas rarely get used at the C&R level.

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Is First-Party Fraud a Credit Risk Problem?

FICO

It’s difficult to define the problem and many banking professionals debate the merits of who “owns” the first-party fraud problem — the credit risk group or the fraud group. The Relationship Between Credit Risk and First-Party Fraud. Credit Risk and Fraud Across the Customer Lifecycle.

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How to Build Credit Risk Models Using AI and Machine Learning

FICO

. Which works better for modeling credit risk: traditional scorecards or artificial intelligence and machine learning? Take, for example, our new credit decisioning solution, FICO Origination Solution, Powered by FICO Platform. It’s designed to help lenders make faster origination decisions without increasing risk.

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Credit Scoring: Which Personality Traits Predict Credit Risk?

FICO

There are two main challenges we face in using alternative data for credit assessment: Predictive power: The data provided must be able to differentiate between good and bad borrowers. Assessment time: As time increases, applicants’ attention decreases and productivity decreases for financial institutions. 2013) and Morrison et al.

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Top 10 Reasons to Migrate to FICO® Score 10 T

FICO

The updated model reflects the evolving credit landscape and credit behavior to help better inform a higher level of consumer credit risk prediction. The validation results for FICO Score 10 T demonstrate improved credit risk prediction for this segment of the population.