Remove Credit Risk Remove Risk Assessment Remove Underwriting
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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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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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What Does 2023 Have in Store for U.S. Credit Risk and FICO Score Trends?

FICO

Credit Risk and FICO Score Trends? credit risk and FICO® Score trends. At the same time, increasing adoption of recent innovations in credit scoring solutions should benefit consumers, leading to greater consumer empowerment opportunities and credit access.

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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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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.