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Understanding the Different Types of Credit Risk

Finezza

Credit risk continues to remain one of the areas of concern for a majority of traditional and new-age lenders. Additionally, new-age lenders often cater to underserved or high-risk segments, increasing the […] The post Understanding the Different Types of Credit Risk appeared first on Finezza Blog.

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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. The post A New Way to Score Credit Risk – Psychometric Assessments appeared first on FICO.

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Can Agentic AI in Fintech Transform Financial Services Through Autonomous Intelligence?

Fintech News

In fintech, this means AI systems that dynamically manage credit risk, automate trading decisions, and even preemptively block fraud, all without human intervention.

AI 76
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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. They are one of our most sophisticated clients in terms of advanced analytics.”. by FICO.

Risk 97
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Bridging The Financial Inclusion Gap, Via Incubator

PYMNTS

In an effort to bridge what is increasingly being known as the “inclusion gap” for minorities, Visa is finding promise in supporting products for financial inclusion in the credit union and community bank portfolio. To hurdle the financial gap that exists for these underserved populations in North America.

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Psychometrics and FICO Scores — An Odd Match?

FICO

The EFL score uses psychometrics and behavioral data to measure a person’s credit risk based on an applicant’s answers to a series of interactive questions and exercises administered via an online assessment. 25% median Gini for its credit risk models across geographies and segments. EFL has seen a circa.

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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.