Modelscape
Govern, develop, validate, implement, and monitor models across business lines
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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
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.
Modelscape Develop
Develop, back-test, and document models and methodologies. Improve transparency, reproducibility, and reusability of models. Automatically generate model documentation and reports.
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.
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.
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.
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.
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