SAS offers comprehensive risk management solutions that are powered by advanced analytics and AI capabilities. Their software is designed to assist financial institutions in various aspects of risk management.
In the area of asset and liability management, SAS helps improve regulatory compliance and instills powerful balance sheet management capabilities. It enables institutions to better handle their assets and liabilities, ensuring a more stable financial position.
For credit risk management, a broad range of scalable credit models can be deployed to continuously manage loan portfolios. This allows for more accurate assessment and mitigation of credit risks.
Enterprise stress testing is another key feature. SAS enables the simulation over multiple scenarios, producing results faster with a richer analysis to inform business decision making. This is crucial for understanding how the institution will fare under different economic conditions.
The expected credit loss solution allows for the execution of the entire ECL process in a substantially reduced time frame using a controlled, high-performance environment. It helps in predicting and managing potential credit losses more effectively.
Risk governance is also emphasized, with the software allowing for proactive governance of risk management processes to achieve business and regulatory goals. This ensures that risks are managed in line with the institution's overall objectives and regulatory requirements.
In the context of insurance risk management, SAS provides a single, integrated framework for IFRS 17 and Solvency II compliance and beyond. This simplifies the complex task of ensuring compliance in the insurance industry.
Overall, SAS's risk management software provides financial institutions with the tools and analytics they need to navigate the complex landscape of risk, optimize their capital and liquidity, and meet regulatory demands with confidence.
