Saudi EXIM Bank chooses SAS technology to improve risk management

SAS, a leader in analytics, announced that Saudi Export-Import Bank (Saudi EXIM Bank) has chosen to use SAS technology to increase governance and efficiency in its risk management operations and reporting to model risk management solutions.

The Saudi EXIM Bank was established in 2020 to promote the export of non-oil Saudi products and to strengthen its skills in all economic sectors in global markets. The bank provides financing services, guarantees and credit insurance with competitive advantages to build trust in Saudi products.

It is one of the funds and development banks overseen by the Saudi National Development Fund (NDF). HE Saad Alkhalb, Saudi EXIM Bank said, “We are delighted to announce our decision to use SAS technology. SAS Risk Management was the next logical step given its proven methodologies and best practices to help us establish a risk-aware culture, optimize capital and liquidity, and meet regulatory requirements.

“Through this project, Saudi EXIM Bank aims to realize the ambitious vision of the Kingdom of Saudi Arabia to diversify its economic base by promoting and enabling non-oil exports in line with the goals of Saudi Vision 2030.”

Alaa Youssef, Managing Director, EMEA Emerging at SAS, said, “A unified platform can provide a complete picture of financial and non-financial risks and rapid decision-making as business needs change.

“As models become more complicated and regulatory expectations rise, purpose-built content, role-specific user interface, and best-in-class features specific to each SAS model risk management use case enable banks and financial institutions to maximize their investment for a variety of business purposes, giving them the opportunity to integrate risk management into the daily operations and business plan of the organization.

With SAS model risk management, partners can establish a centralized model inventory that supports a company’s internal policies and procedures across all business units. The solution’s robust infrastructure includes permissions, version control, and data mining capabilities.

Customers can effectively track model issues, concerns, challenges and corrective actions through a rigorous model review and validation process that meets regulatory principles and expectations. The single source of model documentation consistently records the review and validation process, which can be reviewed at multiple levels including model lineage, version, industry, model owner, and more. Clients can analyze thousands of data points – using both quantitative and qualitative data – to better understand their organization’s model risk concentrations.

Interactive visualizations clearly and accurately tell the model’s risk story to broaden institutional awareness and facilitate appropriate board-level oversight. Users can easily explore the reports to learn more. This enables rapid adjustment of model revisions and validation practices, to stay current with ever-changing risk policies and regulatory requirements. Governance tools help enforce proper approvals, legal reviews, and testing on a consolidated platform.

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