AI-Powered Portfolio Risk Management: A New Era for Lenders

Source: AI Credit News Editorial By: Editorial Team Published: February 5, 2026 advanced

Summary

AI enables continuous portfolio risk assessment, replacing static quarterly models with dynamic systems that respond to macroeconomic changes in real-time.

Managing credit portfolio risk has traditionally relied on static models updated quarterly. AI systems can now provide continuous risk assessment, adjusting for macroeconomic changes in real-time. This dynamic approach helps lenders respond faster to emerging risks.

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Credit Risk Feb 5, 2026

BIS project tests the limits of micoservice-based settlement engines

The Bank for International Settlements has found that the use of modular, microservices-based architecture could support the design of flexible and scalable settlement systems, which could be beneficial for banking and finance applications.

Finextra intermediate

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Credit Risk Feb 3, 2026

Stress Testing with AI: Preparing for Economic Uncertainty

ML models generate thousands of stress test scenarios, helping banks understand tail risks and prepare for severe but unlikely economic events.

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