A changing regulatory environment, new medical advances and health needs are faced with the demand for long-term health insurance coverage. In health insurance, actuarial models are, therefore, required models that can identify trends early, which enable proactive, long-term and effective inventory management and promote product innovation. The core competence of BELTIOS is to advise clients to use such actuarial models as effectively as possible.


Actuarial interpretation of legal standards

  • Analysis of the (potential) impact of changing norms on actuarial models and systems (e.g. IFRS4)

Statistical analysis of performance data

  • Descriptive and inductive statistics
  • Econometric model specification and analysis
  • Development (calibration) of accounting principles

Actuarial support

  • Best estimate modelling and cash flow projection
    • Forecasting, planning principles
    • Embedded Value
  • Quantitative risk management
    • Stochastic modelling
    • Simulation
  • Actuarial product development
  • Actuarial audits
  • Reviews of assumptions, models and systems (e.g. premium adjustment)
  • Data migrations

Support in other actuarial issues



  • Design of new processes for the risk management (“MA-Risk”, internal models)
  • (Re) Design of the processes for contract development/underwriting and performance / claims processing in order to insure the integration of actuarial systems for risk assessment and detection

Statistical data management and analysis

  • Data modelling
  • Data supply
  • (Data) quality assurance
  • Integration of data supply, evaluation, pricing, tariffs, models (Actuarial Control Cycle)

Support in the selection of IT systems for financial and actuarial applications

  • Broad support of the entire selection process, including:
    • Development and coordination of a catalogue of requirements
    • Qualification and evaluation of offers
    • Creating a decision proposal

Development of product strategies


Project management

  • Taking over the entire project management
  • Supporting the project management

Application solutions

  • Design of application solutions
  • Actuarial implementation of the developed solutions:
    • Underwriting
    • Modelling software
  • Quality management and quality assurance
  • Test management and testing

Actuarial and IT structures

  • Support between the IT and business department (Business Analyst)

Reverse engineering of actuarial solutions

  • Code analysis, eliminating unneeded source code
  • Functional reengineering, increasing modularity, reusability

Performance optimization of simulation and projection models

  • Improving the allocation of required functionalities between data supply, projection and evaluation
  • Constructing model and summarisation levels; model points