A suite that allows for risk measurement, management, and reporting, capable of analyzing exposures and potential impacts on capital.
Platforms for advanced analysis of various risk types to support risk management decisions.
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Multi-source Data Integration Ability to import and unify data from multiple banking systems (core banking, CRM, external feeds, etc.). |
FIS Risk Management integrates with multiple core banking and external data systems per product documentation. | |
Real-time Data Sync Support for real-time or near-real-time data updates and streaming. |
FIS documentation and solution briefs reference real-time risk monitoring and analytics. | |
ETL Automation Built-in extract, transform, load (ETL) processes for automated data management. |
Automated ETL and data management listed as system capabilities in FIS product brochures. | |
Data Quality Monitoring Tools to continuously check, profile, and improve data accuracy and consistency. |
Continuous data quality checks and automated issue detection mentioned in FIS solution materials. | |
API Support Availability of application programming interfaces for custom integrations. |
Robust API framework highlighted for integrations in FIS technical documentation. | |
Unstructured Data Handling Ability to process and analyze unstructured data (such as emails, documents, social media). |
Supports analysis of both structured and unstructured data (e.g., documents and feeds) as outlined in marketing collateral. | |
Batch Processing Speed Processing speed for large batches of imported data. |
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Data Mapping Flexibility Tools for flexible mapping between different data schemas. |
Flexible mapping and transformation tools are standard in the ETL and data onboarding modules, per product documents. | |
Cloud Database Compatibility Support for major cloud storage/data platforms. |
Product supports leading cloud databases and FIS advertises cloud deployment compatibility. | |
Data Enrichment Capability to augment data with additional attributes or external sources. |
Data enrichment from third-party sources is part of advanced risk analytics per product whitepapers. |
Credit Risk Assessment Ability to model, calculate, and report on credit risk exposure. |
Credit risk modeling is a primary capability of the FIS Risk Management suite. | |
Market Risk Analytics Support for calculating risks related to market volatility, value at risk (VaR), etc. |
Market risk analytics, including VaR and scenario simulation, are explicitly included. | |
Operational Risk Models Tools for quantifying and simulating operational risks (fraud, process failure, etc.). |
Operational risk modeling tools (for fraud, process failure, etc.) are referenced in product documentation. | |
Custom Risk Scorecard Builder Ability to design, implement, and manage custom risk scoring systems. |
Custom risk scorecards can be developed and deployed; described in user guides. | |
Stress Testing Simulation of extreme scenarios to assess resilience. |
Stress testing, including scenario and regulatory stress tools, is a core feature. | |
Scenario Analysis Capability to analyze the effect of different market and credit scenarios. |
Comprehensive scenario analysis, including custom scenario management, confirmed by solution specs. | |
Probability of Default Calculation Support for quantitative PD modeling. |
Probability of default (PD) models and calculation frameworks are built into credit risk modules. | |
Loss Given Default Estimation Tools to estimate LGD values. |
Loss Given Default (LGD) estimation is a standard credit risk function. | |
Exposure at Default Estimation Tools to model EAD figures. |
Exposure at Default (EAD) modeling included in credit analytics, as per product fact sheets. | |
Model Calibration Tools Functionality to recalibrate and validate predictive risk models. |
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Interactive Dashboards Customizable dashboards for visualizing key risk metrics and trends. |
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Automated Report Generation Tools for scheduled and one-click creation of risk reports. |
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Drill-down Functionality Ability to drill into report figures to explore underlying data. |
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Trend Analysis Historical views and trend projections for risk indicators. |
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Custom Report Builder User-defined templates and configuration for bespoke reporting. |
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Exception Reporting Alerting on outliers, breaches, or significant risk events. |
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Regulatory Report Templates Built-in templates for key regulatory risk reports (e.g., Basel, IFRS 9, CECL). |
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Export Options Ability to export reports/data to popular formats (PDF, Excel, CSV, etc.). |
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Visualization Types Number of chart/visualization types supported. |
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Mobile Accessibility Support for report and dashboard access on mobile devices. |
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User Access Controls Role-based permissions and user management. |
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Audit Trail Comprehensive logs of data changes and analytic actions. |
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Data Encryption Support for encryption at rest and in transit. |
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GDPR/CCPA Compliance Certified support for major data privacy laws. |
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Data Masking Redacting sensitive information in outputs and analytics. |
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Multi-Tenancy Support Ability to securely segment data and processes by user or division. |
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SAML/SSO Integration Support for federated login and identity management. |
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Physical Security Certifications Provider holds relevant data center and process security certifications. |
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Automated Data Retention Policies Configurable rules for retaining and purging risk data. |
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Incident Response Framework Structured response and notification policies for security events. |
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Machine Learning Model Integration Ability to deploy, score, and retrain machine learning models. |
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Anomaly Detection Automatic identification of unusual risk patterns. |
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Time-series Forecasting Support for forecasting risk using time series/sequence models. |
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Model Explainability Tools Features for interpreting ML model outputs (e.g., Shapley values, LIME). |
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Custom Algorithm Support Ability to plug in proprietary or custom-developed models. |
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Automated Feature Engineering Automatic detection and creation of useful input features for predictive models. |
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Model Performance Monitoring Ongoing tracking of predictive model accuracy and drift. |
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AutoML Capabilities Support for automatic model selection and hyperparameter tuning. |
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Risk Alerting Based on Predictions Automated notification based on predictive risk thresholds. |
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Batch Scoring Speed The speed at which models can score data in batch processes. |
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Macro-economic Scenario Modeling Built-in or customizable macroeconomic scenario setups for stress testing credit and market risk. |
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Reverse Stress Testing Ability to identify scenarios that would cause portfolio or firm-wide failure. |
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Flexible Scenario Definition User-definable parameters and variables for scenario analysis. |
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Test Automation Scheduling and automation capabilities for regular stress and scenario runs. |
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Scenario Library Pre-configured sets of sample scenarios for rapid analysis. |
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Real-time Impact Calculation Instantaneous computation of risk metric changes as scenarios are applied. |
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Regulatory Stress Test Alignment Templates and configuration aligned to regulatory stress test requirements (e.g., CCAR, EBA). |
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Scenario Comparison Visualization Tools to visually compare outputs under multiple scenarios. |
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Large-scale Simulation Capacity Maximum number of simultaneous scenarios that can be run. |
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Scenario Result Export Ability to export scenario outputs for reporting or further analysis. |
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Basel Compliance Tools Built-in models and reports aligned to Basel II/III requirements. |
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IFRS 9/CECL Support Features to support international and US accounting for credit impairment. |
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Audit-ready Reporting Ability to generate documentation and outputs required for external/internal audits. |
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Automatic Regulatory Updates Product is kept current with major regulatory rule changes. |
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Regulatory Submission Integration Direct interfaces for electronic regulatory report delivery. |
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Regulatory Test Suites Standardized test suites to validate compliance outputs. |
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Data Lineage Traceability of all data points in regulatory reports back to origin. |
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Comprehensive Risk Taxonomy Library of risks classified in accordance with global regulatory standards. |
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Regulatory Version Control Ability to archive and roll-back compliance configurations. |
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Compliance Policy Templates Pre-built and customizable documentation to accelerate compliance efforts. |
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Concurrent User Support Number of users who can access/report simultaneously. |
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Maximum Data Volume Amount of transactional or risk data that can be stored/processed efficiently. |
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Analytic Calculation Speed Average time needed for complex risk calculations. |
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Uptime/Availability SLA Service level agreement for availability/reliability. |
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Parallel Processing Capability Ability to use parallel CPUs/cores for faster risk analytics. |
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Cloud Scalability Native scalability in public/private/hybrid cloud environments. |
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Load Balancing Support Automated distribution of workload to maximize performance. |
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Batch Processing Throughput Amount of data processed per batch job. |
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Peak User Response Time Maximum time for dashboard or report to load at peak usage. |
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Failover/Disaster Recovery Automated backup and recovery options for business continuity. |
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Self-service Analytics Ability for business users to run and customize analytics without IT. |
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Shared Workspaces Team collaboration areas for shared analytics and annotation. |
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Commenting and Discussion Tools Inline commenting for risk findings and analytic results. |
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User Onboarding Guidance Interactive help, tutorials, or guided onboarding for new users. |
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Customizable Dashboards Drag-and-drop or configurable dashboards. |
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Role-specific Interfaces UI/UX tailored to different types of users (analysts, managers, IT, etc.). |
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Scheduling and Email Notifications Support for scheduled reports and email-based alerts. |
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Mobile/Web Access Full functionality via browser or mobile app. |
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Personalized Views User-customized layouts, favorites, and bookmarks. |
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Export/Import User Settings Ability to save, export, or migrate user configurations. |
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Plug-in/API Library Pre-built connectors or plug-ins for banking, BI, or risk management platforms. |
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Data Export APIs REST or SOAP APIs to export risk data/analytics to other systems. |
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Custom Workflow Integration Ability to combine risk analytics into larger business workflows. |
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BI Tool Compatibility Native integration with major BI products (Power BI, Tableau, etc.). |
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Third-party Model Import Ability to ingest externally developed models (e.g., PMML, Python, R). |
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SFTP/Batch File Interface Support for exchanging bulk risk data using SFTP or shared storage. |
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Event-driven Integration Trigger actions or analytics based on external events. |
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Sandbox Environment Environment for testing integrations and customizations safely. |
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Versioned API Support Backward-compatible management of API version changes. |
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Extensible Data Schema Ability for admins to easily extend data structures for additional fields. |
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