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Model Risk Management

Model Risk Management topics along the model lifecycle - model definition, model vs non-model scope, validation, monitoring, periodic review, model risk reporting and governance...

7 Topics 16 Posts
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  • Managing in a multi-model world

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    There is certainly precedent for this in loss forecasting, given various companies that need to follow both IFRS9 and CECL at different legal entity levels, and/or to follow different stress testing guidance for different regulators.   I can’t think of a case where I’ve seen it for the primary credit risk rating models however (at least not for literally the same exposures receiving two different ratings)

  • Should Model Risk /Validation care about cost?

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    I agree, but wonder if there is something more here.

    I have also seen such “findings” and in the two cases I saw, they were politically/ career minded where once the MRM team was fighting a past battle (comments on how the bank uses resources, and ones they didn’t get) and once where the MRM team lead wanted the lead modeler’s job (and was trying to make a point about how they would use resources). In neither case were such “resource” use findings actually anchored in trying to do MRM work…

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    I think most have been said already, but just for the record I have also seen a PD master scale being validated by MRM (US).

    I’d say as mentioned, the guiding principle should be how you derive the scale. If it involves mathematical and statistical methods, assumptions etc. then it most likely falls under the “model” definition and should be validated. I would tie it to how you define a model internally and what the MRM policy says about it

  • Validation of AI models

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  • Non-Model Framework

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  • Strategic Priorities in MRM

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    Hello RiskbOWl community,
    Oliver Wyman recently conducted a Model Risk Management Survey with 10+ GSIBs participating (thank you to the onces who participated). One of the questions we asked in this survey was "what are your current priorities for MRM?". The top answers were:

    100% said: Expand the scope of MRM (i.e. adding new model types such as AI but also more and more non-models entering MRM) 92% said: Increase resource productivity via simplification, streamlining, etc. 92% said: Increase usage of AI tools to support validators 66% said: Increase validation quality less frequent answers: reduce validation frequency, change to event-based validation, increase offshoring or outsourcing

    What are your current strategic priorities? Where do you see current challenges?

  • SS1/23 goes live tomorrow - Are you ready?

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