Remove Credit Risk Remove Risk Assessment Remove Underwriting
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Why AI’s Early Adopters Are Laser-Focused On Credit Risk And Payments

PYMNTS

These circumstances have brought to the fore what has long been a central concern for lenders: assessing and managing credit risk. This vital task is complicated even in normal times due to the multitude of financial risk factors in play at any given time. percent employ it for credit underwriting.

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Bloomberg To Incorporate Credit Risk Data

PYMNTS

Bloomberg customers will now be able to use the news site's terminal to look at Credit Benchmark 's credit risk data, which comes from risk views of the world's largest financial institutions, according to a press release. Clients will also be able to use the data for an enterprise use case, the release stated.

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Digital payments data is leaving old underwriting behind

Payments Source

Alternative lending companies are one of the strongest examples of how leveraging rich financial transaction data can be used to go beyond traditional credit risk assessments, says Finsync's Eddie Davis.

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Trade Ledger Partners With Wiserfunding For Commercial Risk Assessments

PYMNTS

Inaccurate and slow credit risk assessment for [small- to medium-sized business (SMB)] commercial loan requests is one of the major reasons that over 50 [percent] of loans are currently declined by financial institutions (FIs),” said Roger Vincent, chief innovation officer at Trade Ledger.

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Today In B2B: ERPs Broaden B2B Payments Capabilities; Bloomberg Broadens Credit Risk Data Pool

PYMNTS

Today in B2B, Bloomberg broadens its credit risk data pool, and two ERP solutions secure B2B payments integrations. Bloomberg To Incorporate Credit Risk Data. The release stated firms have more often been looking for data to validate their own internal counterparty and credit risk assessment.

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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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Ford To Use Machine Learning To Assess Credit Risk

PYMNTS

The machine learning study compared results from a Ford Credit scoring model with a machine learning model developed by ZestFinance using its underwriting platform to do deeper analysis of applicant data. Although these consumers may have steady jobs, their creditworthiness is heavily based on credit history.