Remove Assessments Remove Credit Risk Remove Financial Inclusion
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A New Way to Score Credit Risk – Psychometric Assessments

FICO

The scoring methodology was developed by EFL Global and marketed by FICO as part of our FICO Financial Inclusion Initiative , designed to open up credit markets around the world to a larger number of unbanked and underserved consumers. EFL has been part of providing more than $1.3

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FICO Score XD 2 and Innovations in Financial Inclusion

FICO

Some of the top thought leaders in banking, finance, artificial intelligence, machine learning, and credit risk came together in San Francisco to discuss the key trends and innovations in our industry. A key driver of successful financial inclusion is the ability for lenders to effectively gauge the risk of an underserved consumer.

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Credit Scoring: Which Personality Traits Predict Credit Risk?

FICO

Our work with both EFL and Lenddo is part of the FICO Financial Inclusion Initiative. Lenders rely on credit scoring to assess consumers’ risk, and credit scoring relies on credit data. But what if an applicant is new to credit? An Alternative to Credit Data.

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Home Credit China Cuts Risk by 25 Percent on Thin File Loans

FICO

Home Credit , a global non-bank consumer lender, has successfully reduced its credit risk while maintaining loan volumes and keeping approval rates steady by incorporating the FICO® Score X Data to optimize its loan process in China. This type of financial inclusion is good for the consumer and good for our business.

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Using Alternative Data in Credit Risk Modelling

FICO

When it comes to using alternative data in credit risk assessments, the field has really opened up over the last few years. Alternative data is a hot topic, in part because of the data explosion of the last few years, and in part because of the drive in lending for financial inclusion. What is alternative data?

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How Has AI Impacted the Embedded Finance Space in Recent Years?

The Fintech Times

“By analysing big data and rapidly assessing risks, AI empowers financial companies to make well-informed decisions. However, a significant revolution lies ahead – the personalisation of services based on individual user assessments. “Finally, AI is reducing risk in the embedded insurance space.

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Can Alternative Data Move The Dial For Financial Inclusion?

PYMNTS

Credit applications do not ask for these specific details for this very reason,” the report notes. Lenders’ primary goal is to assess a consumer’s stability, ability and willingness to pay. Moreover, the report notes, there are already many underutilized streams of data that are more attuned to assessing willingness to pay.