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Risk Management Solutions

Insurance Risk Management Software

Adopt a single, integrated framework for IFRS 17 and Solvency II compliance – and beyond.

How SAS® Supports Insurance Risk Management

A single, integrated framework for both regulatory compliance and business requirements.

While IFRS/US GAAP and Solvency II differ in the details – e.g., contract identification, level of and approach to calculations, reported measures, responsibilities – they share similar requirements for data, structures, process auditability and traceability, and supporting systems. Our single, integrated framework addresses both regulatory compliance (i.e., IFRS 17/LDTI and Solvency II) and business requirements (e.g., real-time pricing, portfolio optimization). And it's built on a platform that has the flexibility to support late-breaking process changes, without disrupting what you're developing or already have in place.

Risk analysis framework

  • Perform bottom-up risk analysis by product line and risk type.
  • Meet the demands for more robust stress testing and scenario planning.

Integrated platform

  • A single platform enables life and P&C insurance companies to analyze a variety of risks.
  • The underlying platform provides an end-to-end approach – from data sources to reporting – and can serve as the core foundation for an integrated analytical framework.

Open system

  • The system is fully customizable, supporting the co-existence of multiple regulatory regimes and extension to third-party contributions.

Automated documentation

  • Flows of execution, calculations and dependencies are clearly visible.
  • Documentation is generated automatically from the code and is always up-to-date.

High performance

  • A scalable architecture – featuring parallel task execution, in-memory processing and grid optimization – results in extremely fast calculations.

Why choose SAS for insurance risk management?

SAS provides a comprehensive framework for meeting governance and auditability requirements for IFRS 17/LDTI, Solvency II or similar regulatory regimes, as well as for aligning to strategies and goals across finance, risk, actuarial and regulatory compliance functions.

Take a comprehensive approach to insurance contract accounting

Refine your approach to implementation − from data sources to reporting – with predefined data models supporting all methodologies required to successfully implement IFRS 17/LDTI – including posting generation, a subledger, process management and governance.

Meet all IFRS 17/LDTI requirements

For IFRS 17, SAS supports the general measurement model (GMM), formerly known as the building block approach (BBA) for long-term contracts, the premium allocation approach (PAA) and the variable fee approach (VFA). For LDTI SAS supports the calculation of net premium ratio (NPR), liability for future policy benefits (LFPB), amortization of deferred acquisition of cost (DAC) and market risk benefits (MRB).

Ensure regulatory compliance

Accurately evaluate your risk exposure – and meet governance and auditability requirements for Solvency II or similar regulatory regimes – with solutions that accommodate new solvency models, data management processes and complex reporting requirements.

Enable on-demand pricing at scale

Take your actuarial ratemaking process to the next level by using machine learning to gain actionable insight and drive agility. Develop more precise tariff models faster through an agile methodology. Quickly deploy tariffs into production, and embed real-time pricing optimization.

Align strategies & goals across finance, risk, actuarial & regulatory compliance functions

Develop strategic plans at the entity level involving appropriate insurance business units.

Operate with greater efficiencies

Relieve the resource burden of stress testing, and reduce cycle times to allow for greater focus on higher-value activities.

Customer Success

Working Smarter With Insurance Risk Management From SAS

  • Getting a more accurate view of risk and pricing with better data quality

    SAS helped IAG New Zealand Ltd. improve the quality and integrity of its address data, enabling the company to geocode 90% of addresses, compared to 70% before SAS. The company has also improved its risk profile and increased the accuracy of its pricing model.

  • Getting the premium right is the difference between profitable risk and unprofitable risk

    SAS helps RSA Canada accurately predict the impact of risk characteristics on customer premiums, while identifying customer segments with growth potential.

  • Improving data quality to strengthen decision making around underwriting, reinsurance and risk selection

    SAS helped Ecclesiastical establish a foundation for compliance with Solvency II's data management mandate, reduce costs related to claims leakage and reinsurance purchase, as well as improve customer service and decision making.