Investment software and consulting for pensions, wealth, and insurance institutions
Ortec Finance builds quantitative models and software for institutional investment decisions across pensions, wealth management, insurance, and real estate. The tech stack—C#/.NET, Angular, Kotlin/Spring Boot, Python, Kubernetes on Azure—reflects a hybrid architecture supporting both legacy (AFAS, SharePoint) and cloud-native (Kubernetes, Azure DevOps) layers. Accelerating hiring is concentrated in finance (advisory and pension expertise) and engineering, while projects cluster around regulatory readiness (pension system transitions, climate scenarios, ESG integration) and client-facing automation, suggesting a shift toward platform standardization and self-service tooling.
Ortec Finance delivers software models and advisory services for investment decision-making to institutional clients including pension funds, insurance carriers, sovereign wealth managers, and real-estate owners. Founded in 1981 as part of ORTEC bv and spun out as an independent entity in 2007, the company operates from Rotterdam with 201–500 employees. The product portfolio spans asset-liability management, risk analysis, climate scenario modeling, performance attribution, and pension planning. Clients rely on the software to substantiate investment strategies with quantitative rigor; Ortec combines proprietary mathematical models, market data, and hands-on advisory to support that process. The customer base extends from pension funds and insurance firms to municipalities and housing associations across Europe.
C#/.NET, Angular, TypeScript, Java, Kotlin/Spring Boot, Python, Kubernetes, Azure DevOps, Git, and AFAS for backend; SharePoint and Active Directory for enterprise infrastructure. Recently adopting Microsoft 365.
Projects include pension system regulatory transitions, climate and ESG scenario analysis, automated client implementation workflows, API integrations for third-party platforms, and software training programs. Internal focus on data process optimization and migration from legacy systems.
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