SAS Asset and Liability Management
GRC tools
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- Ease of use
- Ease of management
- Quality of support
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What is SAS Asset and Liability Management
SAS Asset and Liability Management is a risk and balance-sheet management application used by financial institutions to measure and manage interest rate risk, liquidity risk, and earnings sensitivity across assets and liabilities. It supports scenario analysis, behavioral modeling, and reporting to help treasury, ALM, and risk teams meet internal governance and regulatory expectations. The product typically integrates with enterprise data sources and other SAS risk solutions to support end-to-end risk analytics and oversight.
Strong ALM risk analytics
The product focuses on core ALM calculations such as interest rate risk measures, earnings-at-risk, and economic value sensitivity under multiple scenarios. It supports behavioral assumptions (for example, non-maturity deposits and prepayments) that are commonly required for realistic balance-sheet modeling. This depth is useful for institutions that need more than basic governance workflows and require quantitative risk measurement.
Scenario and stress testing support
It enables users to run what-if scenarios and stress conditions across the balance sheet to evaluate impacts on earnings, capital, and liquidity-related metrics. This aligns with governance needs where management must evidence review of adverse conditions and remediation planning. It also fits environments that standardize scenario libraries and require repeatable runs with controlled assumptions.
Fits SAS risk ecosystem
SAS Asset and Liability Management is designed to work within the broader SAS risk and analytics stack, which can simplify integration with related risk processes and shared data models. Organizations already using SAS for risk, modeling, or regulatory reporting can reuse infrastructure, security patterns, and administrative skills. This can reduce duplication compared with deploying separate point tools for adjacent risk domains.
Implementation can be complex
ALM implementations typically require significant data mapping, model calibration, and governance around assumptions, and this product is no exception. Institutions may need specialized expertise to configure behavioral models, scenario frameworks, and reporting outputs. Time-to-value can be longer than lighter-weight GRC tools that focus mainly on controls, attestations, and audit workflows.
Best suited to financial services
The product’s design and terminology are oriented toward bank and insurer balance-sheet risk management rather than broad cross-industry compliance programs. Organizations seeking an enterprise-wide GRC platform for policies, controls testing, and case management may need additional tooling. As a result, it may not replace general-purpose governance suites outside treasury and risk functions.
Licensing and platform dependency
SAS solutions commonly involve enterprise licensing and may depend on SAS platform components for data, analytics, and administration. This can increase total cost and constrain deployment choices compared with tools that are delivered as standalone SaaS with simpler packaging. Procurement and ongoing operations may require coordination across IT, risk, and SAS platform teams.
Plan & Pricing
No public pricing tiers or costs are published on the vendor's official product pages. The SAS product pages for "SAS Asset and Liability Management" show options to "Request Pricing" and to "Request a Demo" rather than any fixed or usage-based prices.
Seller details
SAS Institute Inc.
Cary, North Carolina, USA
1976
Private
https://www.sas.com/
https://x.com/SASsoftware
https://www.linkedin.com/company/sas/
