List of SAS Risk Modeling Customers
Cary, 27513-2414, NC,
United States
Since 2010, our global team of researchers has been studying SAS Risk Modeling 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 Modeling 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 Modeling for Risk Management include: Intesa Sanpaolo, a Italy based Banking and Financial Services organisation with 93832 employees and revenues of $28.86 billion, Bank of Montreal, a Canada based Banking and Financial Services organisation with 53597 employees and revenues of $25.19 billion, Banca Mediolanum, a Italy based Banking and Financial Services organisation with 3442 employees and revenues of $1.80 billion, Bendigo and Adelaide Bank Group, a Australia based Banking and Financial Services organisation with 4762 employees and revenues of $1.26 billion and many others.
Contact us if you need a completed and verified list of companies using SAS Risk Modeling, 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 Modeling 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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Banca Mediolanum | Banking and Financial Services | 3442 | $1.8B | Italy | SAS Institute | SAS Risk Modeling | Risk Management | 2021 | n/a |
In 2021, Banca Mediolanum implemented SAS Risk Modeling on SAS Viya to develop high performing credit scoring models for its retail lending operations in Italy. SAS Risk Modeling was applied as a Risk Management solution to support finance and credit risk functions across the bank.
The deployment on SAS Viya centralized model development and scoring pipelines, enabling faster model iteration and more transparent, auditable scoring workflows. The implementation emphasized credit scoring model development, reproducible scoring and model versioning, with configurations aligned to regulatory model documentation and validation requirements.
Operational scope focused on retail lending and credit decisioning within the bank's Italian operations, with analytics and model execution running on the SAS Viya platform. The technical footprint concentrated on SAS Risk Modeling capabilities for score generation and model lifecycle orchestration.
Governance changes included standardized, auditable scoring workflows and stronger model documentation to improve model reliability and support regulatory compliance. Module usage and implementation details are documented on the SAS customer story page, which reports faster model development and clearer audit trails for Banca Mediolanum's credit risk processes.
|
 |
Bank of Montreal | Banking and Financial Services | 53597 | $25.2B | Canada | SAS Institute | SAS Risk Modeling | Risk Management | 2018 | n/a |
In 2018, Bank of Montreal implemented SAS Risk Modeling to support credit analytics as part of its Risk Management capability. The SAS Risk Modeling deployment focused on serving retail and wholesale credit risk analytics and became the primary platform for risk rating model development and validation within the Toronto risk modeling team.
The implementation covered development and operationalization of risk rating models used for Basel and IFRS9 reporting, model monitoring workflows, and diagnostic and sensitivity analysis. Configuration work included encoding model logic, parameterizing assumptions, and building automated test suites to validate model behaviors and scoring rules across scenarios.
Operational integration centered on data provisioning and requirements, where analysts investigated databases and delivered mappings and specifications to data teams. Analysts used SAS, Python, and SQL for analytics, testing, and result extraction, while coordinating with methodology, business, technology, and data center stakeholders in Toronto.
Governance was formalized through centralized testing, structured model oversight, and routine project planning meetings, with the implementation lead acting as primary liaison to synchronize product specifications and technical delivery. Test reporting and model monitoring processes were established to produce monthly risk reports and to feed methodology updates.
Extensive validation testing identified defects prior to production deployment, preventing production failures and enabling the methodology team to implement model updates. The SAS Risk Modeling implementation produced diagnostic outputs and test artifacts that supported ongoing IFRS9 and Basel model maintenance and monitoring.
|
 |
Bendigo and Adelaide Bank Group | Banking and Financial Services | 4762 | $1.3B | Australia | SAS Institute | SAS Risk Modeling | Risk Management | 2019 | n/a |
In 2019 Bendigo and Adelaide Bank Group implemented SAS Risk Modeling in a Risk Management capacity from SAS Institute to centralize credit portfolio data and create a single credit risk modelling environment for its finance and credit risk function in Australia. The deployment was positioned as a centralized platform to consolidate loan data and provide a unified modelling workspace for credit risk analytics and portfolio oversight.
Deployment architecture emphasized a single credit risk modelling environment that aggregated loan and credit records onto one platform, with module usage focused on credit risk modelling and portfolio consolidation. SAS Risk Modeling was configured to host model development and scoring workflows, and to serve as the principal repository for credit models and related data assets.
Operational scope covered finance and credit risk teams across the bank in Australia, and the initial rollout delivered rapid consolidation, moving 80% of loan and credit data onto the platform within months. The program increased the share of loan data managed on a single system, which supported tighter model data lineage and reduced manual reconciliation points.
Governance and process changes accompanied the technical implementation, centralizing model stewardship and data ownership for credit risk activities, and driving reduced errors and lower maintenance costs as reported in the deployment notes.
|
 |
|
Banking and Financial Services | 93832 | $28.9B | Italy | SAS Institute | SAS Risk Modeling | Risk Management | 2023 | n/a |
|
Buyer Intent: Companies Evaluating SAS Risk Modeling
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||