List of SAS Model Risk Management Customers
SAS Institute
100 SAS Campus Drive,
Cary, 27513-2414, NC,
United States
Cary, 27513-2414, NC,
United States
1 800-727-0025
Professional Services
13500
$3.6B
Since 2010, our global team of researchers has been studying SAS Model Risk 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 Model Risk Management for Risk 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 Model Risk Management for Risk Management include: UBS, a Switzerland based Banking and Financial Services organisation with 106789 employees and revenues of $57.05 billion, Toronto-Dominion Bank, a Canada based Banking and Financial Services organisation with 103000 employees and revenues of $44.80 billion, UniCredit, a Italy based Banking and Financial Services organisation with 75265 employees and revenues of $31.83 billion, ABN AMRO, a Netherlands based Banking and Financial Services organisation with 22267 employees and revenues of $10.44 billion, ABBANK, a Vietnam based Banking and Financial Services organisation with 3709 employees and revenues of $340.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS Model Risk 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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ABBANK | Banking and Financial Services | 3709 | $340M | Vietnam | SAS Institute | SAS Model Risk Management | Risk Management | 2022 | Thakral One Incorporated |
In 2022, ABBANK implemented SAS Model Risk Management, deploying a unified model-risk and credit decisioning solution on SAS Viya in the Risk Management category. Thakral One Incorporated served as the implementation partner for the Vietnam deployment, enabling a coordinated vendor and partner delivery model.
The SAS Model Risk Management implementation integrated model governance and credit decisioning workflows for finance and credit risk, operationalizing model validation, control and score deployment processes. The platform supported more frequent model updates and faster loan decision turnaround times, aligning model-risk controls with credit origination and underwriting functions. Outcomes reported in the customer story include improved loan decision turnaround times and a reduction in credit risk exposure.
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ABN AMRO | Banking and Financial Services | 22267 | $10.4B | Netherlands | SAS Institute | SAS Model Risk Management | Risk Management | 2018 | Wolters Kluwer |
In 2018, ABN AMRO selected SAS Model Risk Management together with Wolters Kluwer to integrate finance, risk and regulatory reporting as part of its FRAAI transformation in the Netherlands. The engagement positioned SAS Model Risk Management within the Risk Management category to deliver enterprise-wide model governance and process orchestration across finance and risk functions.
The implementation emphasized core model risk management capabilities, including a centralized model inventory, standardized model governance workflows, and data lineage instrumentation to support traceability of model inputs and outputs. SAS Model Risk Management was configured to enforce documentation and validation controls and to orchestrate model lifecycle steps from development through validation and deployment.
Integration scope explicitly included unifying finance, risk and regulatory reporting streams, with Wolters Kluwer acting as implementation partner for the integrated reporting and control layers. The deployment targeted enterprise operational coverage in the Netherlands, linking bank finance and risk groups to a single repository for model artifacts and governance metadata.
Governance changes included centralization of model ownership records, standardized approval and validation workflows, and process orchestration to align model governance with regulatory requirements. The program incorporated risk governance capabilities from SAS to support auditability, controlled model promotion processes, and consistent model documentation across business functions.
Outcomes called out in the engagement included centralizing the model inventory, improving data lineage for model inputs and outputs, and meeting regulatory requirements for model governance and reporting as part of the FRAAI transformation. These changes supported tighter coordination between finance, risk and regulatory reporting functions using SAS Model Risk Management in the Risk Management category.
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Toronto-Dominion Bank | Banking and Financial Services | 103000 | $44.8B | Canada | SAS Institute | SAS Model Risk Management | Risk Management | 2017 | n/a |
In 2017, The Toronto-Dominion Bank implemented SAS Model Risk Management to centralize model governance within its Risk Management function and create a single source of truth for model assets. The implementation targeted the US Model Risk Management team and addressed roughly 500 models in the US, positioning SAS Model Risk Management as the system of record for model oversight across business groups and risk stakeholders.
The deployment incorporated candidate assessment and standardized model classification, formal model registration, stakeholder assignment, and comprehensive documentation capture. SAS Model Risk Management was configured to support cross functional lifecycle workflows, including configurable attestation workflows and rule based governance checkpoints, enabling the MRM team to author and enforce consistent model control processes.
Operational coverage spans executive sponsors, model owners, model developers, end users, auditors and business sponsors, with the MRM team using SAS Model Risk Management to coordinate interactions across these roles. The program includes plans to import hundreds of documents from legacy systems into the centralized repository and to expand the database into a development archive that holds source code and test results, creating persistent traceability across model artifacts.
Governance was reshaped by establishing the MRM team as the authoritative owner of model metadata and attestation evidence, elevating model oversight into a repeatable workflow driven practice. The project delivered explicit compliance benefits when regulators assessed the bank, improved visibility into interconnected model risk across business activities, and increased internal adoption as business groups began contributing to and querying the SAS Model Risk Management database.
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UBS | Banking and Financial Services | 106789 | $57.1B | Switzerland | SAS Institute | SAS Model Risk Management | Risk Management | 2022 | n/a |
In 2022, UBS implemented SAS Model Risk Management to support model governance and lifecycle oversight. UBS presented a global approach to model risk management at SAS's Model Risk Management Connection, and the engagement indicates operational coverage focused on Switzerland and broader EMEA within the Risk Management category.
The implementation centers on core model risk management capabilities typical of the Risk Management category, including a centralized model inventory, model validation workflows, version control and metadata management to enable auditability and governance. Use of SAS Model Risk Management was discussed by UBS speakers in the context of infrastructure and process orchestration, suggesting configuration for lifecycle tracking, validation signoffs, and governance reporting. These modules align with functional terminology such as model governance, model lifecycle management, validation automation, and model performance monitoring.
UBS described integrations between model development and validation workflows, implying connectors or APIs that align model artifacts and validation results with governance records, without naming specific systems. Operational scope emphasized risk teams and model validators in Switzerland and EMEA, aligning business functions across model governance, model validation, and risk oversight. Governance constructs discussed by UBS included standardized validation gates, audit trails, and centralized oversight to support cross-border model controls.
The public presentation on SAS's event page is the basis for UBS usage of SAS Model Risk Management, and the narrative is grounded in UBS speakers' discussion of MRM practices and infrastructure. No specific outcomes or costs were disclosed in the event materials.
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UniCredit | Banking and Financial Services | 75265 | $31.8B | Italy | SAS Institute | SAS Model Risk Management | Risk Management | 2019 | n/a |
In 2019 UniCredit implemented SAS Model Risk Management for Risk Management to support its Group Internal Validation, Credit Risk Validation function. The deployment anchors model governance and validation activities for AIRB models and is associated with ongoing validation work reported from Milan, Lombardy, Italy by the Credit Risk Validation team.
SAS Model Risk Management was configured to inventory credit risk models, orchestrate validation workflows, and document performance evaluation steps. Configuration emphasized model lifecycle controls, validation checklists, statistical testing routines, and reproducible scoring validation consistent with model risk management practices in banking.
Operational usage includes data processing and statistical analysis performed with SAS software as part of the validation pipeline, with the Credit Risk Validation group executing AIRB models validation and performance evaluation. The implementation covers credit risk model types used within Group Internal Validation, and it integrates model assessment, backtesting, and documentation into a centralized validation workflow.
Governance adjustments focused on formalizing validation procedures and embedding repeatable validation artifacts into the SAS Model Risk Management environment. Controls were established to standardize evidence capture, model performance review cadence, and internal validation reporting for the Credit Risk Validation function.
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Buyer Intent: Companies Evaluating SAS Model Risk Management
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating SAS Model Risk Management. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating SAS Model Risk Management for Risk Management include:
- Macquarie Group, a Australia based Banking and Financial Services organization with 21270 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
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Macquarie Group | Banking and Financial Services | 21270 | $4.5B | Australia | 2026-02-13 |
FAQ - APPS RUN THE WORLD SAS Model Risk Management Coverage
SAS Model Risk Management is a Risk Management solution from SAS Institute.
Companies worldwide use SAS Model Risk Management, from small firms to large enterprises across 21+ industries.
Organizations such as UBS, Toronto-Dominion Bank, UniCredit, ABN AMRO and ABBANK are recorded users of
SAS Model Risk Management for Risk Management.
Companies using SAS Model Risk Management are most concentrated in Banking and Financial Services, with adoption spanning over 21 industries.
Companies using SAS Model Risk Management are most concentrated in Switzerland, Canada and Italy, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SAS Model Risk Management across Americas, EMEA, and APAC.
Companies using SAS Model Risk Management range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 20%, and global enterprises with 10,000+ employees - 80%.
Customers of SAS Model Risk Management include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified SAS Model Risk Management customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Risk Management.