List of SAS Asset and Liability Management Customers
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Since 2010, our global team of researchers has been studying SAS Asset and Liability Management customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAS Asset and Liability Management for Enterprise Asset Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAS Asset and Liability Management for Enterprise Asset Management include: Scotiabank Mexico, a Mexico based Banking and Financial Services organisation with 7200 employees and revenues of $1.70 billion, Alliance Bank, a Malaysia based Banking and Financial Services organisation with 3959 employees and revenues of $461.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS Asset and Liability Management, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Alliance Bank | Banking and Financial Services | 3959 | $461M | Malaysia | SAS Institute | SAS Asset and Liability Management | Enterprise Asset Management | 2025 | n/a |
In 2025, Alliance Bank Malaysia Berhad implemented SAS Asset and Liability Management to strengthen its interest rate and liquidity risk management under the Enterprise Asset Management category. The deployment is positioned to elevate monitoring and oversight across the bank's ALM function, aligning operational controls with Bank Negara Malaysia risk and liquidity guidelines and enabling faster, more accurate business decisions.
The implementation emphasizes core ALM capabilities, including advanced stress testing, scenario analysis, predictive analytics, depositor concentration tracking and enhanced liquidity analytics. SAS Asset and Liability Management was configured to deliver robust daily reporting and to support simulations and analyses that inform immediate funding decisions, while automation was used to reduce manual interventions and operational friction.
Architecturally the solution is presented as a centralized data and analytics platform that consolidates transactional and deposit data to drive daily reporting, liquidity simulations and automated workflows for ALM processes. The platform operationalizes predictive models and scenario engines alongside a reporting layer that supports daily oversight and governance of interest rate and liquidity exposures.
Operational scope focuses on the bank's risk management and treasury functions within the Malaysian business, with process transformation to automate roughly 90 percent of ALM processes as part of the rollout. Governance changes include formalizing daily reporting and liquidity monitoring protocols to meet supervisory expectations, and the bank has forecasted annual savings from streamlined data sharing and reduced manual work as part of the adoption of SAS Asset and Liability Management.
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Scotiabank Mexico | Banking and Financial Services | 7200 | $1.7B | Mexico | SAS Institute | SAS Asset and Liability Management | Enterprise Asset Management | 2020 | n/a |
In 2020 Scotiabank Mexico implemented SAS Asset and Liability Management as its Enterprise Asset Management solution to centralize balance sheet risk analytics and formalize ALM workflows. The deployment targeted commercial portfolio risk and treasury functions within Scotiabank Mexico, establishing a platform for interest rate risk measurement and liquidity oversight across the bank's Mexico operations. SAS Asset and Liability Management was positioned as the primary system for forward looking balance sheet modeling and scenario orchestration.
The implementation configured core ALM capabilities including interest rate risk modeling, liquidity risk analysis, cash flow projection, scenario analysis and regulatory style reporting. The SAS Asset and Liability Management implementation leveraged SAS analytic engines for model computation, and was configured to support automated batch and ad hoc stress scenarios, model parameter management, and templated reporting for risk and finance audiences.
Integrations included the bank's SQL based data repositories and the wider SAS Enterprise environment to feed instrument level positions, cashflows and commercial portfolio datasets into the ALM engine. Migration activity and commercial portfolio tests were validated through targeted QA cycles, with documented testing and data reconciliation work performed during July 2021 through September 2021. Operational coverage focused on treasury, ALM, risk and commercial portfolio oversight workflows.
Governance established a centralized ALM operations and model validation workflow, incorporating staged migration validation, QA testing scripts and runbook procedures for scenario execution and report distribution. The rollout emphasized repeatable validation and control steps for parameter updates and scenario runs, aligning ALM processes with the bank's risk and finance governance practices.
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