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Modelscape

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

bat365 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, users 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

Language-Agnostic Model Lifecycle

The bat365 Modelscape solution consists of six fully configurable components that support the management of data, models, and documents across the lifecycle. Each component supports integration with existing tools and infrastructure, from desktop to cloud. All lifecycle stages are synchronized through a centralized model inventory that tracks the full model lineage and use.

bat365 Modelscape Model Risk Management Solution

Modelscape Governance

Manage models and modeling projects

Provides a dashboard with a customizable executive level view into the models associated data and being able to run custom algorithms
Deliver customizable and automated workflows across model lifecycle
Web-centralized access to an inventory of all models in any language, data, dependencies, state, intermediate results, and full audit trail

Facilitating Model Governance with the bat365 Model Inventory

bat365 Modelscape Governance

Modelscape Develop

Define and develop

Explore, develop, back-test, and document models and methodologies
Improve transparency, reproducibility, and reusability of models
Auto-generate model documentation and reports

bat365 Modelscape Develop

Modelscape Validate

Ensure healthy models by reviewing business line data, building challenger models, and giving feedback and approving

Provide a unified environment to test and validate models written in languages such as Python, MATLAB, and R
Build challenger models using a comprehensive library of validated statistics, machine/deep learning, financial, risk, and econometric algorithms
Provide workflows of communication through built-in interfaces to give feedback and model approval
Generate automated model validation reports

Model Validation Is Everyone's Business

bat365 Modelscape Validate

Modelscape Test

Perform continuous integration and testing of model artifacts for ongoing quality assurance.

Provide an environment for approved models to undergo pre-production user acceptance testing.
Manage suites of automated and manual validation tests, with linking and traceability to development and reviews.
Execute equivalence, performance, and coverage testing against in-production models against development specifications.

bat365 Modelscape Test

Modelscape Deploy

Unified environment to execute and deploy models

Perform language-agnostic deployment of models without refactoring or recoding models
Host production models and scale to end users in a secure controlled environment
Integrate with existing technology infrastructures and incorporate ModelOps best practices
Manage the execution of multiple model versions across different environments

The bat365 Model Execution Environment

bat365 Modelscape Deploy

Modelscape Monitor

Monitor, report, and assess

Get real-time model execution results using a configurable web dashboard
Explore data segments and configure alerts and thresholds for automated monitoring
Analyze model usage, behavior, and health to determine candidate models for retirement

Recalibrating Regulated Financial Models