Remove Assessments Remove Credit Risk Remove Regulatory Compliance
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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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Mckinsey: Generative AI to Transform Risk Management in The Next 5 Years

Fintech News

The report notes that several institutions have already started exploring the use of gen AI in risk management, citing regulatory compliance, financial crime, credit risk, modeling and data analytics, cyber risk and climate risk as emerging use cases.

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Understanding Risk Management Strategies as a PayFac

Stax

PayFacs handle risk assessment, underwriting, settling of funds, compliance, and chargebacks which exposes them to greater potential risks. Major risk factors for PayFacs include fraudulent transactions, merchant credit risk, regulatory compliance, and operational risks.

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New Data: Share Of FIs Using AI Has Increased 70 Pct

PYMNTS

Even more significantly, our research shows that FIs are using AI with greater focus than they have in the past, with two areas emerging as key applications: payments fraud and credit risk. Supervised systems like BRMS are simply not capable of responding to the dynamic, constantly shifting nature of these risks.

AI 81
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Unlocking Growth: Supply Chain Financing Future with M2P’s Credit Stack

M2P Fintech

Challenges in Supply Chain Financing Manual processes slow down operations and heighten the risk of errors. Additionally, regulatory compliance and the need to adhere to strict financial standards further complicate the landscape.

Finance 52
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Top 5 Risk Analytics Posts: From Rising FICO Scores to Alt-Data

FICO

“By contrast, growth in student loan debts outpaced inflation, being both greater in number as well as balances; this undoubtedly creates a drag on capacity for other forms of consumer credit.”. A New Way to Score Credit Risk – Psychometric Assessments. Using Alternative Data in Credit Risk Modelling.

Risk 58
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Top 5 Analytics Posts: Explainable AI and Machine Learning

FICO

Indeed, taken together, they explored many aspects of Explainable AI and its applications, particularly in the area of credit risk. Here were the top 5 posts of 2017 in the Analytics & Optimization category: How to Build Credit Risk Models Using AI and Machine Learning. Read the full post. Who’s scoring you now? “I

Posting 55