SAS Risk Management for Enterprise Risk Analytics Training Course

Course overview

Enterprise risk teams need more than risk registers and periodic spreadsheets. They must consolidate exposures across credit, market, liquidity, operational and model risk; apply consistent risk definitions; run repeatable scenarios; and provide senior management with evidence that explains how individual risk events affect enterprise-wide appetite, capital and decision-making. SAS Risk Management provides the controlled environment to organise this work, but teams need practical capability to configure risk content, manage data inputs, execute calculations and interpret outputs reliably.

This five-day intermediate course teaches participants how to use SAS Risk Management to support enterprise risk analytics. Participants work with the SAS Risk Management object model, portfolio and organisational hierarchies, risk factors, scenario definitions, configurable workflows, calculation runs and reporting outputs. They learn to prepare and validate risk data, configure risk analysis processes, implement stress-testing and what-if scenarios, monitor risk measures against thresholds, and produce management-ready dashboards and reports. The course also examines how SAS Risk Management can support governance expectations associated with Basel III, IFRS 9 and internal risk appetite frameworks.

Instruction combines guided demonstrations with hands-on configuration in a SAS training environment. Participants complete a connected case study based on a multi-business financial institution, progressing from data onboarding and hierarchy setup to scenario analysis, workflow approval and executive reporting. By the end of the course, each participant leaves with a documented enterprise risk analytics configuration pack: a risk hierarchy, scenario specification, calculation-run design, workflow map, exception thresholds and report requirements that can be adapted for workplace use.

The course is designed for practitioners who already understand financial-risk concepts and now need to operate or improve a SAS Risk Management implementation. It is equally useful for managers sponsoring risk-platform adoption, as it clarifies the controls, data dependencies and operating processes required to turn risk analytics into repeatable management information.

Course objectives

By the end of this course, participants will be able to:

• Configure organisational, portfolio and risk-factor hierarchies in SAS Risk Management.
• Prepare and validate risk data inputs using defined data-quality and reconciliation checks.
• Define enterprise risk scenarios, stress assumptions and what-if analysis parameters.
• Set up calculation runs and monitor their status, outputs and processing exceptions.
• Configure risk thresholds, limits and breach indicators aligned to a risk appetite framework.
• Design workflow stages, approvals and audit evidence for controlled risk-analysis processes.
• Produce management reports and dashboards that explain exposure, scenario impact and limit breaches.
• Create an enterprise risk analytics configuration pack for a defined business use case.

Benefits of attending

Target competencies

Who should attend

• Enterprise Risk Managers — who need repeatable cross-risk analysis and management reporting.
• Risk Analysts — who configure, execute and interpret risk calculations and scenarios.
• Credit Risk Managers — who need to connect portfolio exposures, stress results and limits.
• Market and Liquidity Risk Analysts — who monitor sensitivities, scenarios and threshold breaches.
• Risk Technology Business Analysts — who translate risk-process requirements into SAS Risk Management configurations.
• Finance and Regulatory Reporting Managers — who require controlled, traceable risk information for governance and disclosure.

Requirements and prerequisites

Participants should have working knowledge of financial-risk concepts such as exposure, loss, scenario analysis, stress testing, risk appetite, limits and portfolio hierarchies. Experience using SAS software, reading SAS data sets, or working with risk-reporting processes is strongly recommended; participants should be comfortable navigating enterprise applications and interpreting tabular risk data. Familiarity with Basel III or IFRS 9 is useful but not essential. This is not a programming course, so prior SAS coding expertise is not required, nor is prior administration experience with SAS Risk Management. Attendees without risk-domain experience should first gain foundational knowledge of banking or enterprise risk management.

Training methodology

The course uses instructor-led walkthroughs of SAS Risk Management followed by structured configuration labs in a realistic financial-institution case study. Participants load and inspect risk inputs, build hierarchies, define scenarios, launch calculation runs and investigate exceptions using supplied data. Small-group workshops convert business requirements into workflow, threshold and reporting designs, with peer review of control decisions. On day five, participants assemble an end-to-end enterprise risk analytics configuration pack and identify the data, governance and ownership actions needed to apply the approach in their own environment.

Course outline

Day 1: SAS Risk Management foundations and enterprise risk structure

• SAS Risk Management architecture and navigation
• Enterprise risk analytics operating model
• Risk object model and metadata relationships
• Organisational and legal-entity hierarchies
• Portfolio, product and exposure hierarchies
• Risk factors, measures and aggregation concepts
• Risk appetite, limits and threshold design

Workshop: Participants configure a multi-entity risk hierarchy and map selected risk measures to ownership levels for the case-study institution.

Day 2: Risk data preparation, validation and calculation setup

• Risk data sources and inbound data structures
• Data mapping for exposures and reference data
• Data-quality rules and completeness checks
• Reconciliation controls for aggregated risk positions
• SAS Risk Dimensions calculation concepts
• Calculation-run definitions and execution parameters
• Run monitoring, logs and exception investigation

Workshop: Participants validate a supplied exposure file, resolve identified data issues and configure a calculation run with documented controls.

Day 3: Scenario analysis, stress testing and risk measurement

• Scenario taxonomy and business-use cases
• Baseline, adverse and reverse stress scenarios
• Risk-factor shocks and assumption management
• What-if analysis configuration
• Cross-risk aggregation and diversification considerations
• Sensitivity analysis and result comparison
• Scenario-result interpretation for management decisions

Workshop: Participants build and execute an adverse macroeconomic scenario, then prepare a short analysis of its effect on enterprise risk measures.

Day 4: Workflow, governance and risk reporting

• Configurable workflow stages and task assignments
• Approval routes and segregation-of-duties controls
• Evidence capture and audit-trail requirements
• Limit monitoring and breach escalation rules
• Report templates and parameterised reporting
• Dashboard measures and executive reporting design
• Basel III, IFRS 9 and internal governance alignment

Workshop: Participants design a controlled scenario-review workflow and create a report specification for a monthly risk committee pack.

Day 5: End-to-end enterprise risk analytics application

• End-to-end risk-analysis process design
• Configuration dependency and impact analysis
• User roles and operating-responsibility matrix
• Model, assumption and scenario governance
• Production scheduling and run-management practices
• Exception management and remediation tracking
• Implementation roadmap and adoption measures

Workshop: Participants complete and present an enterprise risk analytics configuration pack containing hierarchy, scenario, run, workflow, threshold and reporting designs.

Tools & standards covered

SAS Risk Management, SAS Risk Dimensions, SAS Enterprise Guide, Basel III

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions