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Model Risk

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What is Model Risk?

Model Risk is the possibility of errors or inaccuracies in a financial or operational model that can lead to poor decision-making, financial loss, or regulatory non-compliance. It arises when models are incorrectly implemented, based on flawed assumptions, or used inappropriately.

Sources of Model Risk

  • Incorrect assumptions or data inputs

  • Overfitting or underfitting models

  • Lack of validation or backtesting

  • Complexity exceeding user understanding

  • Misuse of models for unintended purposes

Impacts of Model Risk

  • Inaccurate risk assessments or forecasts

  • Regulatory penalties for non-compliance

  • Capital misallocation

  • Loss of stakeholder trust

  • Operational and financial losses

How SysRisk Helps Manage Model Risk

SysRisk provides a robust framework for controlling and mitigating model risk through:

✅ Model inventory and documentation management
✅ Validation workflows and version control
✅ Automated testing and scenario simulations
✅ Governance tools to track model performance
✅ Audit trails and compliance reporting

With SysRisk, organizations ensure that models are transparent, reliable, and aligned with risk management objectives, reducing exposure to potentially costly errors.