EVOLV Credit

A single platform for all your data, models, scenarios and results

EVOLV enables financial institutions to efficiently orchestrate and execute complex enterprise-wide credit risk analytics for regulatory stress testing such as DFAST and CCAR. EVOLV provides our clients with a highly controlled, auditable and infinitely scalable platform that brings together data, models and scenarios from all lines of business in a transparent and repeatable manner.

  •  Credit concentration analysis
  •  Model execution platform
  •  Specific review workflow tool
  •  Scenario analysis
  •  Sensitivity analysis
  •  Credit stress testing (CCAR/DFAST)

Built by industry experts and delivered through a revolutionary, domain-specific SaaS, EVOLV uniquely equips financial institutions to efficiently meet ever changing demands across risk, finance and regulatory compliance.

Stress testing made easier

EVOLV delivers out-of-the box capabilities required to support the entire
process for bank stress testing, including the following:

Data management
Model execution
Reporting & analytics

Cleanses, normalizes, and prepares data for use by models, reporting, and analytics

Applies custom business-rules to enrich, clean, complete, tag, and transform data prior to processing and reporting

Identifies and resolves data errors through quality control reports

Conforms with Basel Committee on Banking Supervision’s “Principles for Effective Risk Data Aggregation and Risk Reporting” (“BCBS 239”) standards

Tracks and maintains asset records (e.g., data lineage) from the original source, transforming to its ultimate use

Hosts all models used for reserving and credit risk management in one place

Supports SS&C Primatics’ models, third-party models, and client-built models

Define and run macroeconomic scenarios and assumptions

Includes cohorting and portfolio segmentation

Stores full audit trail of model runs, backtest models as specified by the user

Generates rapid results with high-performance grid computing

Automated mapping to DFAST and CCAR templates

Supports internal management packages and ad-hoc analytics

Compares results between scenarios or periods using attribution and sensitivity analysis

Integrates directly with Microsoft Office tools, exportable to PDF or Excel

Includes 100+ customizable reports, 3,000+ attributes and business calculations available for out-of-the-box reporting

Allows for optional delivery of scheduled reports automatically via email

Cleanses, normalizes, and prepares data for use by models, reporting, and analytics

Applies custom business-rules to enrich, clean, complete, tag, and transform data prior to processing and reporting

Identifies and resolves data errors through quality control reports

Conforms with Basel Committee on Banking Supervision’s “Principles for Effective Risk Data Aggregation and Risk Reporting” (“BCBS 239”) standards

Tracks and maintains asset records (e.g., data lineage) from the original source, transforming to its ultimate use

Hosts all models used for reserving and credit risk management in one place

Supports SS&C Primatics’ models, third-party models, and client-built models

Define and run macroeconomic scenarios and assumptions

Includes cohorting and portfolio segmentation

Stores full audit trail of model runs, backtest models as specified by the user

Generates rapid results with high-performance grid computing

Automated mapping to DFAST and CCAR templates

Supports internal management packages and ad-hoc analytics

Compares results between scenarios or periods using attribution and sensitivity analysis

Integrates directly with Microsoft Office tools, exportable to PDF or Excel

Includes 100+ customizable reports, 3,000+ attributes and business calculations available for out-of-the-box reporting

Allows for optional delivery of scheduled reports automatically via email

EVOLV review

A holistic view of portfolio credit risk.

EVOLV Review supports the management of assets assessed on an individual basis and increases the usefulness of the credit review process by converting unorganized credit data from various sources, often collected in an unstructured format, into actionable information that can be accessed, analyzed, and integrated seamlessly into financial institutions’ other processes. This streamlined workflow decreases the amount of time and effort that credit managers spend compiling data, providing financial institutions with the opportunity to spend more time focusing on loan originations and increasing profitability.

Capabilities include:
  • Support specific review assets in scope of ASC 310-10-35 (FAS 114), ASC 310-30 (SOP 03-3), CECL, and IFRS 9 Impairment
  • Capture structured and unstructured data within flexible form-based review templates that accommodates customized data fields
  • Store supporting documentation within a centralized system repository, access information entered by individual relationship managers in the field
  • Enter asset-level data, estimate the impact of the data elements on the allowance calculations
  • Manage the review process through a controlled workflow that manages customizable rules for secondary reviews and approvals
  • Integrate with other platform components - reporting, accounting, model execution, credit analytics