SAS Earns Prestigious Best Credit Risk Platform Award at WatersTechnology Asia 2025

SAS Wins Best Credit Risk Platform at WatersTechnology Asia Awards



SAS, a frontrunner in data and artificial intelligence, received the esteemed title of Best Credit Risk Platform at the 2025 WatersTechnology Asia Awards, announced in Singapore recently. This accolade is a testament to SAS's distinctive and comprehensive approach to risk modeling and decision-making, catering specifically to the entire credit life cycle.

This award recognizes SAS's powerful, cloud-based solutions designed for risk modeling and intelligent decision-making. SAS Risk Modeling enables organizations to develop, validate, deploy, and monitor risk models internally while enhancing governance and mitigating risks through integrated data management, machine learning capabilities, and performance reporting tools. SAS Intelligent Decisioning automates and optimizes real-time decision-making by seamlessly integrating business rules, AI-driven insights, and data flows into a scalable and governed decision-making process.

Victor Anderson, Global Content Director at WatersTechnology and chief judge of the awards, highlighted SAS's achievement by stating that the firm emerged on top due to its exceptional risk modeling and decision-making platform. This platform aids financial institutions in managing various tasks related to the credit life cycle, all while enhancing collaboration between business and IT departments through the SAS Viya cloud platform.

Following SAS's acquisition of the specialty risk management firm Kamakura Corporation in 2022, the firm's reputation in the risktech sector has soared. In fact, SAS is now ranked second in the 2025 Chartis RiskTech100, which evaluates the world's top providers of risk management software and solutions.

The unique attributes that distinguish SAS in the risk modeling and decision-making realm are its integrated framework that supports banks in model development, maintenance, and deployment throughout the credit life cycle. SAS solutions integrate seamlessly with the SAS Viya platform, significantly outperforming competitors by being thirty times faster. This capability enables financial institutions to efficiently handle each aspect of the analytics life cycle, from data ingestion and management to model building and validation, all within a single advanced AI platform.

Key features that set SAS apart from its competitors include:
  • - Data Management: The platform ensures streamlined data access, preparation, and integration, facilitating a clear flow to downstream analytical processes, effectively reducing ETL time through in-database technologies.
  • - Risk Modeling: SAS offers a single interface that consolidates the processes of model data preparation, development, back-testing, monitoring, and deployment, thereby accelerating the time-to-market for models. The built-in workflow capabilities enhance repeatability and auditability, along with comprehensive documentation.
  • - Credit Decisioning: With a robust configuration of business rules across various aspects, including loan originations, portfolio management, and early warnings for collections, SAS provides financial institutions with a holistic view of their portfolios. Its systems support decisions through real-time, streaming, and batch integration alongside governance and testing mechanisms.
  • - Analytical Support: With capabilities for ad hoc analytics, visualization, and reporting, SAS enhances productivity with minimal dependence on IT resources. The platform also supports synthetic data generation, open-source AI, econometrics, machine learning models, and optimization strategies.

Anselmo Marmonti, Vice President of Banking Risk, Fraud, and Compliance Solutions at SAS, noted that this award highlights the transformative capacity of AI-driven innovation in the domain of credit portfolio management. He emphasized that SAS's capabilities deliver a scalable, efficient, and future-proof solution that consistently enhances risk management and operational agility.

As banks navigate a challenging financial environment, investments in risk technology are set to increase. A recent survey conducted by FT Longitude alongside SAS revealed that 75% of banks plan to enhance their risk infrastructure, with a primary focus on AI, integrated modeling, and effective data governance to meet the demands of increasing credit, liquidity, and regulatory pressures.

For those interested in delving deeper into the findings, SAS offers a comprehensive report titled ‘Transforming Risk Management,’ exploring how institutions are evolving risk into resilience.

SAS remains committed to equipping financial institutions with advanced analytics, automation, and cloud-ready capabilities to facilitate intelligent and timely decision-making in an ever-evolving landscape.

About WatersTechnology


WatersTechnology serves as the leading reference for expert analysis and news regarding financial information and technology markets. Established in 1996, it now boasts an extensive archive of over 53,000 articles, honoring excellence in financial information and technology management through the WatersTechnology Asia Awards.

About SAS


SAS is recognized as a global leader in data analytics and AI. Through its software and tailored industry solutions, SAS empowers organizations to turn data into trusted decisions, providing them with THE POWER TO KNOW®.

Topics Financial Services & Investing)

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