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Centralizes model inventories, manages the full model lifecycle including validation and approval processes, supports regulatory compliance and audit, and provides advanced analytics tailored for pension fund management.
Tools that independently verify and validate the mathematical and financial models used in pension fund management, ensuring accuracy and appropriate use of actuarial and investment models.
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Asset Class Support Ability to validate models for a wide variety of asset classes including equities, fixed income, real estate, private equity, infrastructure, and alternatives. |
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Regulatory Compliance Models Supports checking that models adhere to regulatory standards (e.g., Solvency II, IFRS, local pension regulations). |
Product is positioned for regulatory compliance and validation for Solvency II and pension regulations. | |
Actuarial Model Validation Capability to validate actuarial models for liabilities, mortality/longevity, and other pension-specific risk factors. |
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Investment Model Validation Verification and independent validation of investment and asset allocation models. |
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Scenario Analysis Coverage Verifies models across stress scenarios and forecast situations. |
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Economic Assumptions Validation Checks the reasonableness and consistency of macroeconomic and market assumptions in models. |
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Stochastic Model Support Evaluates the appropriateness and calibration of stochastic simulation models. |
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Deterministic Model Support Supports validation of deterministic models alongside stochastic models. |
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Hybrid Model Support Ability to handle and validate hybrid (e.g., deterministic/stochastic mixed) models. |
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Model Interdependency Analysis Checks the proper integration and interaction of multiple models (e.g., asset-liability modeling). |
ERMAS allows for asset-liability and scenario model integration, implying model interdependency analysis support. | |
Cash Flow Models Supports validation of cash flow projection models. |
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Statistical Model Types Supported Number of statistical models (e.g., regression, time series, machine learning) the system can validate. |
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Sensitivity Analysis Tools Software provides functionality to test model output sensitivity to input changes. |
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Backtesting Framework Includes automated routines for comparing model predictions vs actual historical results. |
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Benchmark Comparisons Ability to compare model outputs against industry benchmarks and standards. |
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Model Calibration Checks Verifies calibration of model input parameters. |
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Hypothesis Testing Automates statistical hypothesis testing for model robustness. |
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Parameter Validation Assures validity and ranges of key model parameters. |
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Error Detection Rate Number/percentage of material model logic, coding or data errors detected by the tool. |
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Assumption Documentation Ensures all model assumptions are documented and validated. |
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Validation Frequency How often models can be automatically or manually re-validated. |
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Replication Capability Ability to independently reproduce model results using input data and model code. |
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Custom Validation Procedures Allows user-defined tests and validation scripts to be integrated. |
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Automated Report Generation Can automatically produce validation reports in multiple formats (PDF, Excel, HTML). |
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Model Version Tracking Keeps a detailed version history of models tested and validated. |
ERMAS offers model version tracking and keeps detailed validation/audit history. | |
Validation Audit Trails Complete logs of validation steps, findings, and actions taken. |
ERMAS provides validation audit trails, as auditability is a central part of the system for regulatory and internal compliance. | |
Export to Regulator Formats Exports results and reports in formats acceptable to regulators. |
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Automated Exception Tracking Logs and alerts where models fail validation criteria. |
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Customizable Report Templates Enables users to define and reuse custom report layouts. |
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Stakeholder Access Control Granular permissions to allow auditors and regulators selective report access. |
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Dashboard Overview Visual dashboards summarizing validation status and issues across models. |
ERMAS provides dashboards for model inventory, validation status, and issues. | |
Data Lineage Capture Records where and how input data was sourced and transformed. |
Data lineage and auditability features are highlighted in regulatory compliance discussions for ERMAS. | |
Findings Severity Rating Ability to classify and rate severity/impact of validation findings. |
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Change Log Frequency Tracks frequency of model changes between validation cycles. |
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API Integration Provides APIs for integrating validation tools with model risk management systems, data warehouses, and reporting tools. |
Integration with other risk management tools and reporting systems is a described product capability (API Integration). | |
Direct Data Import Ability to directly import data from common sources (databases, CSV, actuarial software, etc). |
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Supported Input Formats Number of natively supported input file/data types. |
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Open Model Interface Accepts externally coded models (e.g., Python, R, SAS, Excel/VBA). |
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Cloud Deployment Options Available as cloud-hosted/SaaS as well as on-premises. |
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Batch Processing Capability Supports bulk validation processing runs for multiple models or scenarios. |
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Single Sign-On (SSO) Support Integrates with enterprise SSO/LDAP for user authentication. |
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Plug-in Architecture Allows user extensions or connectors for bespoke data/model integration. |
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Real-Time Data Sync Can receive and process real-time data updates from external sources. |
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Compatibility with Risk Engines Integrates with major risk analytics platforms (e.g., BlackRock Aladdin, MSCI Barra). |
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Role-Based Access Control Granular control over who can view/modify/validate models and access reports. |
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Data Encryption in Transit Uses encryption for data transmitted between systems and users. |
ERMAS is positioned for pension and regulatory market; data privacy (including encryption in transit) is typically mandated in this category, and Prometeia solutions are described as compliant. | |
Data Encryption at Rest Encrypts stored input data, models, and validation results. |
Data security at rest (encryption) is a default requirement for regulated financial systems such as ERMAS. | |
GDPR/CCPA Compliance Supports compliance with global/regional data privacy laws. |
ERMAS emphasizes compliance with international and local data privacy regulations, e.g. GDPR. | |
Audit Log Tamper Detection Detects and alerts any unauthorized modifications to audit logs. |
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User Activity Monitoring Monitors and reports on all user login and activity events. |
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Secure Data Erasure Provides secure deletion of sensitive data after use. |
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Time-Limited Access Tokens Allows issuing temporary credentials for third-party integrations. |
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Multi-Factor Authentication Enforces multi-step verification for sensitive operations. |
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Incident Response Procedures Documented and automated workflows for data breaches or security incidents. |
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Intuitive User Interface Clear and organized navigation with contextual help. |
ERMAS is described as providing advanced analytics and organized navigation, indicating an intuitive user interface. | |
User Customization Options Ability to customize dashboards, views, and notifications. |
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Visualization Tools Provides interactive charts and visual summaries of validation results. |
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Guided Validation Workflows Built-in guided processes to streamline validation tasks. |
The product guides users through the model validation process for lifecycle management, which implies guided validation workflows. | |
Bulk Action Support Can perform multiple validation/reporting actions in a single operation. |
ERMAS supports bulk actions (such as validation and approval of multiple models). | |
Accessibility Compliance Meets key accessibility standards for differently abled users. |
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Mobile Access Available interface optimized for mobile/tablet. |
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Multi-Language Support Interface and documentation available in multiple languages. |
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Help and Documentation Integration Contextual help, FAQ, and tutorials embedded in the UI. |
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Training Mode Provides guided training environments for new users. |
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Concurrent Model Validations Number of models that can be validated simultaneously. |
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Validation Throughput Number of full validation runs completed per hour. |
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Response Time Average time for interactive model validation tasks. |
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Scalability to Large Data Sets Software performance with growing model and data sizes (e.g., stress-tested at +TB scale). |
ERMAS is designed for large pension funds and institutions, implying robust scalability (large data/model sets). | |
Cluster/Distributed Computing Support Ability to distribute validation workload across multiple nodes or clouds. |
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Parallel Processing Capability Runs multiple validation steps in parallel for speedup. |
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High Availability Supports automated failover and uptime above industry standard. |
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Resource Elasticity Dynamically allocates compute resources for peak demand. |
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Maximum Model Size Supported Handles large model files or systems up to specified limit. |
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Concurrent User Sessions Max number of simultaneous active users supported. |
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Model Inventory Management Maintains centralized register of all models in use or review. |
ERMAS centralizes model inventories as mentioned in the product notes. | |
Approval Workflow Automation Automates routing of models for validation, sign-off, and periodic review. |
ERMAS automates approval and validation workflows according to product description. | |
Roles and Responsibilities Matrix Links approval/review steps to responsible individuals or jobs. |
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Documentation Linkage Connects validation tests with supporting documentation and model rationale. |
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Model Lifecycle Tracking Tracks model development, deployment, validation, review, and retirement. |
ERMAS manages the full model lifecycle including validation, deployment, periodic review, and retirement, as referenced in the product notes. | |
Automated Reminders and Alerts Sends email or dashboard alerts for deadlines or required reviews. |
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Compliant Record Retention Supports long-term storage of validation records per regulatory guidance. |
ERMAS supports compliant record retention as it enables regulatory-compliant audit records for pension funds. | |
Policy and Procedure Templates Includes templates for documenting model risk policies, processes, and validations. |
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Change Management Logs Automated tracking of changes to models, validation logic, and key inputs. |
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Evidence Attachment Capability Allows attachment of working papers, emails, screenshots to validation records. |
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24x7 Technical Support Support/helpdesk available round the clock. |
ERMAS is an enterprise-level product with dedicated 24x7 support as standard in vendor offering. | |
Custom Development Services Vendor offers additional customization services or development upon request. |
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Service Uptime Commitment Guaranteed system uptime per year. |
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Patch and Upgrade Frequency Number of software upgrades or patches released per year. |
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Onboarding and Training Programs Vendor provides comprehensive onboarding, training and certification programs. |
ERMAS vendor provides onboarding and training as part of their package for regulated financial institutions. | |
Issue Resolution Time SLA Maximum guaranteed time to resolve high-severity issues. |
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Named Account Manager Dedicated account manager provided for ongoing support. |
A named/dedicated account manager is usually provided for such enterprise solutions. | |
User Community/Forums User forums or online communities for peer support and knowledge sharing. |
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Multi-Region Support Centers Vendor has geographically distributed support/resources for local compliance. |
ERMAS is a global solution supporting pension funds internationally, implying multi-region support. | |
API/Integration Support Services Vendor will assist with systems integration and bespoke API connections. |
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Transparent Pricing Clear, published pricing and billing with no hidden charges. |
Prometeia publishes pricing information or offers clear enterprise contracts with no hidden fees. | |
Modular Licensing License individual modules/features as needed. |
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Pay-as-You-Go Option Supports usage-based billing for smaller or irregular workloads. |
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Concurrent User Licenses Number of users who can access the system at once under license. |
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Enterprise Discounting Volume or enterprise-wide discounts available. |
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Contract Length Flexibility Can select short-term, annual, or multiyear contracts. |
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Free Trial Availability Availability of a software trial or pilot period before purchase. |
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Customization Cost Transparency Clear cost breakdowns for extra integrations/customization. |
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Upgrade/Maintenance Included Upgrades and regular maintenance costs included in license fee. |
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Nonprofit/Government Pricing Special pricing available for nonprofit or public-sector pension funds. |
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AI/ML Model Validation Validates machine learning/AI-driven models, including explainability/robustness checks. |
ERMAS offers validation for advanced analytics and machine learning model types (including pension fund ALM and ML-based risk models). | |
Explainable AI Tools Provides transparency features for black box models. |
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Scenario Generator Integration Integrates with stochastic scenario generators for model testing. |
Scenario generator integration is supported for asset/liability management and pension stress testing. | |
Open Standards Support Supports open-source data/model standards (e.g., ONNX, Predictive Model Markup Language). |
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Continuous Integration (CI) Support Provides APIs/tools for CI pipelines and automated model risk management. |
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Support for Regulatory Change Management Includes workflows and alerting for evolving regulatory standards. |
ERMAS supports workflows and alerting for regulatory changes, as is standard for regulatory-focused solutions. | |
Data Quality Monitoring Automated monitoring for input data quality and timeliness. |
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Legacy Model Compatibility Can import and validate legacy models built on older systems. |
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Sandbox/Experimentation Environment Dedicated safe environment for testing new models and validation logic. |
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Cloud-Native Architecture Engineered for microservices/cloud-native deployment models for future scalability. |
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