SAS
SAS is the leader in analytics. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. With 40 years of analytics experience, SAS works closely with top companies across industries to address critical business needs. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. SAS solutions are used by more than 3,500 financial institutions worldwide, including 97 percent of the banks on the Fortune Global 500®, and placed as the top risk solutions vendor for risk management technology in the 2015 and 2016 Chartis: RiskTech100® report.
All content by SAS
Key actuarial transformation trends across Apac in 2022
Digital transformation has resulted in growing market complexity. This has been heightened by both the introduction of more regulations for insurers and consumer demand for customised insurance coverage. This report reveals the perceptions that actuaries have towards actuarial transformation and…
Outrunning risk with cloud
Supercharged risks are running circles around banking risk models. Here’s how the cloud can keep you one step ahead.
Building Artificial Intelligence in Credit Risk: A Commercial Lending Perspective
Drawing on recent academic evidence and business insights, this paper provides a contemporary look at what AI and ML adoption could mean for commercial lending and credit risk assessments. It also proposes different approaches to AI and ML adoption tailored to each step of the commercial lending…
Managing Fraud Risk in the Digital Age
In the past, consumers used cash, checks and/or credit, debit or prepaid cards to pay for their purchases. They also used money transfer services such as ACH and wire payments, which had a delay in the settlement allowing more time for investigation. Those days are becoming a distant memory as more…
Next steps for model risk management in Southeast Asia
Financial institutions across South‑east Asia face challenges assessing and measuring non-financial risks (NFRs) inherent in their business models, and are therefore concerned about regulatory scrutiny, transparency and the use of models within their businesses. SAS explores how financial…
RiskTech 100 2020 Winner: SAS
Traditionally driven by regulation, financial institutions’ approaches to risk management are becoming increasingly business-focused. Regulation may still drive the initial requirements for risk solutions, but institutions are now seeking to unlock the benefits of data gathered and to share that…
Machine Learning Model Governance
Machine learning (ML) models need governance just like other models, only more so. This is particularly true of ML models designed to improve automatically through experience. Their ability to “learn” not only enables greater accuracy and predictability, but can also greatly increase model risk and…
Standard Chartered Bank: Turning Stress Testing From Compliance Tool to Competitive Advantage
Partnering with SAS, Standard Chartered Bank built a robust stress testing platform. It started out as a tool for regulatory compliance and was expanded for assessing the effect of crisis scenarios on its future P&L and balance sheet. The bank has migrated this Scenario-Based Analytics Platform to…
Data and analytics: Better decisions by the numbers
Financial institutions have massive repositories of data about their customers, leading some industry watchers to suggest that these troves of information may be their most valuable raw material, and perhaps their best defence against upstart competitors. But how well are banks and credit unions…