List of SAS Risk and Finance Workbench Customers

SAS Institute

100 SAS Campus Drive,
Cary, 27513-2414, NC,
United States

https://www.sas.com/

1 800-727-0025

Professional Services

13500

$3.5B

Since 2010, our global team of researchers has been studying SAS Risk and Finance Workbench 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 Risk and Finance Workbench 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 Risk and Finance Workbench for Risk Management include: Bank of Montreal, a Canada based Banking and Financial Services organisation with 53597 employees and revenues of $25.19 billion, Standard Chartered Bank, a United Kingdom based Banking and Financial Services organisation with 80695 employees and revenues of $19.81 billion, ABN AMRO Netherlands, a Netherlands based Banking and Financial Services organisation with 18295 employees and revenues of $7.00 billion, TowneBank, a United States based Banking and Financial Services organisation with 3000 employees and revenues of $692.0 million and many others.

Contact us if you need a completed and verified list of companies using SAS Risk and Finance Workbench, 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.

The SAS Risk and Finance Workbench customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!

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Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	SI	Insight Source
ABN AMRO Netherlands	Banking and Financial Services	18295	$7.0B	Netherlands	SAS Institute	SAS Risk and Finance Workbench	Risk Management	2018	Wolters Kluwer	In 2018 ABN AMRO Netherlands selected Wolters Kluwer and SAS Institute and implemented SAS Risk and Finance Workbench in the Risk Management category as part of its Finance and Risk Architecture Alignment Initiative. The program was designed to integrate finance, risk, IFRS 9 and CECL, stress testing and regulatory reporting and to improve data granularity and lineage across the bank. SAS Risk and Finance Workbench was positioned to provide the orchestration, scenario management and finance consolidation layer for FRAAI, leveraging SAS stress testing and IFRS 9 components to coordinate scenario execution and consolidated finance outputs. Implementation work emphasized scenario orchestration, consolidated reporting feeds and standardized credit loss modeling workflows to support regulatory reporting and stress testing use cases. Deployment centered on a centralized orchestration layer that federates outputs from risk models and finance ledgers and normalizes data for regulatory reporting and stress testing across finance and risk functions. Wolters Kluwer served as the implementation partner responsible for integration and rollout activities between SAS Institute components and ABN AMRO teams across the affected departments. Governance and process changes under the Finance and Risk Architecture Alignment Initiative focused on strengthening data lineage, model governance and reconciled reporting workflows to align IFRS 9 and stress testing outputs with finance consolidation processes. The initiative created a single orchestration plane for scenario execution and regulatory reporting while improving traceability of inputs and outputs for compliance purposes.
Bank of Montreal	Banking and Financial Services	53597	$25.2B	Canada	SAS Institute	SAS Risk and Finance Workbench	Risk Management	2017	n/a	In 2017 Bank of Montreal implemented SAS Risk and Finance Workbench for Risk Management to support its IFRS 9 impairment modeling and expected credit loss provisioning program. The deployment centered on using SAS Business Rule Manager within SAS Risk and Finance Workbench to enforce slotting criteria and stage allocation logic that determine 12 month versus lifetime ECL classification, making stage allocation a primary driver of reported ECL outcomes. The implementation combined multiple SAS components, including SAS BRM for rule authoring and publishing, SAS RFW for risk and finance orchestration, SAS IRM for integrated risk management workflows, and SAS Visual Analytics for reporting and sensitivity visualization. Deliverables included creation of input and output vocabularies, rulesets and rule flows published from the BRM UI, a notch framework to compare significant increase in credit risk, base SAS code and macros that replicate UI logic for testing, and scenario automation to run alternative parameter sets. Operational architecture emphasized ETL and data quality assurance feeding the SAS Risk and Finance Workbench, automated job flows capable of concurrent runs under different if else scenarios, and quarterly updates to macroeconomic scenario weighting as provided by GAC. Development and release controls used Bitbucket for code package management, administrators for application deployment, and pre and post deployment validation artifacts including lists of change requests and incident reports for audit readiness. Governance and operationalization covered user acceptance testing to identify and resolve defects, elimination of manual data processes through automation, production and late hour run support for BAU, and maintained documentation to enable agile handoffs. Performance and enhancement activities were explicitly undertaken to reduce run time and disk space, and procedures were implemented to produce exception reports and identify gaps that caused unexpected ECL variances.
Standard Chartered Bank	Banking and Financial Services	80695	$19.8B	United Kingdom	SAS Institute	SAS Risk and Finance Workbench	Risk Management	2018	n/a	In 2018, Standard Chartered Bank deployed SAS Risk and Finance Workbench as the core of a scenario based analytics platform for enterprise stress testing and integrated risk finance forecasting. The deployment was delivered in partnership with SAS Institute and positions SAS Risk and Finance Workbench within the Risk Management category as the orchestration layer for scenario police and finance consolidation workflows. Implementation focused on scenario management, orchestration of stress test runs, and finance consolidation capabilities consistent with stress testing and IFRS9 workflows. SAS Risk and Finance Workbench was configured to manage scenario libraries, automate batch scenario execution, and consolidate projected P&L and balance sheet views for forward looking forecasting and regulatory stress test packages. The platform was integrated across Standard Chartered’s Asia Pacific and global operations to align risk and finance functions, enabling consolidated risk finance forecasting for capital planning and enterprise stress testing. Operational scope encompassed risk analytics, finance forecasting, and stress test orchestration, with model governance and run book automation supporting cross functional coordination between risk and finance teams. Governance and process changes accompanied the rollout, with the workbench supporting standardized scenario governance, audit trails for model runs, and reconciliation points for finance consolidation. The implementation delivered improved P&L and balance sheet projection speed and governance, and the scenario based analytics platform earned industry recognition in 2021.
	Banking and Financial Services	3000	$692M	United States	SAS Institute	SAS Risk and Finance Workbench	Risk Management	2018	n/a

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