The Singapore Life insurance industry is not only competitive and mature but is also bound by many rules and regulations that are largely driven by the different stakeholders.
For the participating business, the investment portfolio plays a central role in being able to maintain a top position in this market. Given this multi-dimensional complexity, insurance companies use an array of quantitative models to support investment decisions. Qualitative aspects are also integrated into these models. Such as reputational risk, operational aspects, ESG criteria and peer group metrics, all of which can be taken into account when specifying realistic boundary conditions in ALM optimization.
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28 July 2026Ortec Finance selected by Ostrum Asset Management for its GLASS ALM and PRISM Machine-Learning Optimization toolsOrtec Finance, a leading provider of investment modelling solutions, today announced that Ostrum Asset Management, an expert Insurance and Institutional investment manager and affiliate of Natixis Investment Managers, has selected Ortec Finance’s GLASS ALM and PRISM Machine-Learning Optimization solutions to provide an enhanced investment solutions offering to its insurance and pension clients.
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22 July 2026Article GLASS PRISM: The Evolution of Insurance Asset Portfolio OptimizationFollowing the launch of GLASS PRISM, Ortec Finance attracted significant media attention, with industry publications exploring how the solution is transforming portfolio optimization for institutional investors.