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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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Best practices for credit risk management in uncertain times

Abrigo

Fortify your credit risk management framework How to prepare your organization for scrutiny of its credit risk management practices during your next exam or review. . You might also like this whitepaper, "Stress Testing: Managing Capital Levels and Credit Risk." Have a playbook.

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Effective model risk management and model validation in banking

Abrigo

What are model risk management and model validation? Model risk management (MRM) is a framework of systemic oversight of the models a financial institution or organization relies on for financial reporting, decision-making, and other critical purposes. Model governance overview. Federal guidance. Validation teams.

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Fed finalizes risk management rule for 'financial market utilities'

American Banker

The rule updates requirements for how systemically important clearing networks prepare for and respond to operational risks.

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How to Evaluate Business Lending Software for Your Bank

Learn the seven must-have features that you can press vendors to showcase, and discover the secrets to accelerate your time to market while maintaining compliance controls and risk management standards.

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Compliance Execs Forge Closer Ties With Corporate Buyers

PYMNTS

With third-party due diligence and supply chain security as increasingly critical components of organizations’ procurement operations, compliance executives are finding important positions in their firms’ purchasing processes. Automated risk management solutions can be helpful in theory.

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Quantifind, Oracle Team To Offer AI Automation For AML Compliance

PYMNTS

Financial crimes risk management software company Quantifind and Oracle Financial Services have teamed up to improve anti-money laundering (AML) compliance and to add intelligence and automation properties directly into the compliance workflows, according to a release.