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Proactive Credit Risk Management: Developing an Early Warning System

Finezza

This highlights the inherent risks lenders face. Therefore, financial institutions (FIs) need robust credit risk management to minimise risk and boost returns and productivity.

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Understanding Risk Management Strategies as a PayFac

Stax

In this article, we’ll discuss what SaaS companies looking to become payment facilitators need to know about risk management strategies. PayFacs handle risk assessment, underwriting, settling of funds, compliance, and chargebacks which exposes them to greater potential risks.

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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. They can also assess ongoing credit quality.

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Mckinsey: Generative AI to Transform Risk Management in The Next 5 Years

Fintech News

Generative artificial intelligence (AI), also known as gen AI, is expected to significantly impact risk management over the next five years, allowing financial institutions to automate tasks, accelerate processes and improve efficiencies. Following a credit decision, gen AI can draft the credit memo and contract.

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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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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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NEW REPORT: The Banks’ How-To Guide To Using AI To Manage Credit Risk

PYMNTS

Managing credit risk used to be a reactive process. Bank customers would fall behind on their payments, and their banks might react by imposing fees or having a case manager work with them to bring their accounts back up to speed. This was not only costly for customers, but also financially dubious for their banks.