Overview

Evalueserve's Model Risk Management (MRM) solutions are designed to assist financial institutions in effectively managing the lifecycle of their models. By integrating advanced analytics, automation, and industry expertise, Evalueserve aims to enhance model governance, validation, and performance monitoring. This comprehensive approach ensures that models are accurate, reliable, and compliant with regulatory standards, thereby supporting informed decision-making and mitigating potential risks.

Features and Capabilities

• Automated Model Test Interpretation and Documentation: Streamlines the validation process by automating the interpretation and documentation of model tests, reducing manual effort and increasing efficiency.
• AI/ML Challenger Model Development: Develops alternative models using artificial intelligence and machine learning techniques to challenge existing models, enhancing robustness and precision.
• Extensive Pricing Libraries: Provides comprehensive libraries for a wide range of financial instruments, facilitating accurate pricing and valuation.
• Advanced Workflow Platform: Offers a platform that improves efficiency and governance by managing workflows related to model development, validation, and monitoring.
• Model Inventory and Governance Platform: Maintains a comprehensive, auditable inventory of all models and their dependencies, supporting executive oversight and compliance.
• Automated Documentation Generation: Automatically generates model documentation and reports, improving transparency and reproducibility.
• Model Validation Reports: Produces automated reports on model validation, ensuring thorough assessment and compliance with regulatory standards.
• Continuous Integration and Testing: Facilitates ongoing model quality through continuous integration and testing, ensuring that models meet development criteria before deployment.
• Real-Time Monitoring and Assessment: Implements real-time monitoring of models with customizable dashboards, setting up alerts for automated oversight and analyzing model performance to identify models for potential retirement.