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Model Risk Management: Regulatory Priorities and Best Practices

Abrigo

Meet Model Risk Management Expectations Updates to the FDIC Risk Management Manual should steer institutions toward a model that manages risk and drives growth. Takeaway 1 Aside from meeting examiner expectations, proper model risk management can protect your institution from unnecessary risk. .

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AI Regulations for Financial Services: CFTC and FDIC

Perficient

The report recommended that the agency develop a sector-specific AI Risk Management Framework. They also noted that, as with any activity or process in which a bank engages, identifying and managing risks are key. However, in 2024 the FDIC reduced its public-facing role.

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7 Highlights from the Latest FDIC Quarterly Banking Profile

Abrigo

Banking Trends from the FDIC's 2Q Report Net interest margin reached a new record low, but positive signs emerged in lending. Summary of the Latest FDIC Quarterly Profile. FDIC) released the latest Quarterly Banking Profile recently, and it has some helpful information on industry trends. Portfolio Risk & CECL.

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Silicon Valley Bank Failure – Lessons in Interest Rate Risk Management

South State Correspondent

The abrupt collapse of Silicon Valley Bank (SVB) is a stunning example of bank leadership not understanding interest rate risk, running into trouble with an inverted yield curve, and ignoring the impact of a severe monetary correction on long-duration assets. That combination made their liabilities very sensitive to safety.

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Bank Regulators Seeking Comments on the Use of AI and ML in the Industry

Perficient

The five federal agencies are: the Consumer Financial Protection Bureau (CFPB), the Federal Deposit Insurance Corporation (FDIC), the Federal Reserve Board (Fed), the National Credit Union Administration (NCUA) and the. This involves the use of AI to inform credit decisions to enhance or supplement existing techniques. Risk Management.

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How segmentation can benefit a bank’s ALLL and risk management practices

Abrigo

A segmentation strategy, though, is a great place to start to nail down an effective and efficient process – not only will it serve a substantial purpose for the ALLL, but also as a larger risk management tool. The goal is for the segmentation to be granular enough for the pools to show those similar loan characteristics.

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AI Regulations for Financial Services: FinCEN

Perficient

In April 2021 a Statement and separate Request for Information on Model Risk Management was issued by FinCEN and the FDIC, Federal Reserve, NCUA, and OCC.