Model Risk Management Lifecycle

Modelscape

Govern, develop, validate, implement, and monitor models across business lines

The Modelscape solution enables financial institutions to reduce the complexity of managing the lifecycle of financial models while improving model documentation, transparency, and compliance. By implementing the solution throughout the model lifecycle, you can:

Use templated model workflows, automated documentation, and artifact linking
Scale algorithms, models, and apps both horizontally and vertically
Provide support for enterprise infrastructure, tooling, and languages such as Python^®, R, SAS, and MATLAB
Track issues across the model lifecycle with full model lineage, issue, and usage reporting
Comply with the principles provided in SR11-7, SS1/23, OSFI E-23, SS3/18, and other regulatory publications

Model Risk Management Lifecycle Overview

Modelscape Governance

Use the executive dashboard for model data, custom algorithm execution, automated workflows, and web-based access to a comprehensive, auditable inventory of all models and dependencies.

SS1/23 Compliance with Modelscape

Documentation

Modelscape Develop

Develop, back-test, and document models and methodologies. Improve transparency, reproducibility, and reusability of models. Automatically generate model documentation and reports.

Documentation

Modelscape Validate

Validate models in various languages and construct challenger models with an extensive algorithm library, all within a single platform. Facilitate feedback and approvals through communication workflows. Produce automated model validation reports.

Model Validation is Everyone's Business

Documentation

Modelscape Test

Facilitate ongoing model quality with continuous integration and testing. Enable pre-production testing for approved models, manage comprehensive validation tests, and conduct testing to ensure in-production models meet development criteria.

Documentation

Modelscape Deploy

Run and deploy models regardless of language without recoding. Host and scale models securely. Integrate with current tech and ModelOps standards. Handle multiple model versions in varied environments.

The MathWorks Model Execution Environment

Documentation

Modelscape Monitor

Implement real-time monitoring and assessment of models with a customizable web dashboard. Set up alerts for automated oversight. Analyze model performance to identify models for potential retirement.

Model Monitoring and Drift Detection: Ensuring the Health and Fairness of Deployed Models