P&C Risk Analyst

Responsibilities

• Contribute to the development, calibration, and implementation of Allianz Direct’s future internal risk capital model, including methodology design, parameterisation, and documentation.
• Design and calibrate underwriting risk model components (e.g. premium risk NonCat, premium risk NatCat) and define the methodological basis for their integration into the overall risk framework.
• Perform risk capital calculations under the current framework, additional scenario analyses, and model tests; help to gradually evolve these processes as the internal model is being built.
• Analyse accumulation risks (e.g. Man-Made-Cat scenarios and NatCat) and contribute to accumulation steering.
• Contribute to group-wide projects as well as support or coordinate various special topics, such as assessing upcoming product launches from a risk management perspective and reinsurance analyses to steer the risk appetite.
• Prepare decision papers, presentations and analyses, in particular for the Risk Committee, Board of Management meetings and stakeholder meetings (internal and external).
• Provide analytical input for internal and external reporting, in particular Solvency II reporting (ORSA, RSR and SFCR), and contribute to the annual update process for the Top Risk Assessment and the business and risk strategy.
• Help build the data foundations, tooling, and governance required for a robust, audit-ready quantitative risk framework.

Requirements

• Strong university or university of applied sciences degree, ideally with a mathematical focus.
• At least 5 years of relevant professional experience in an actuarial area of a P&C insurance company, or alternatively in quantitative risk management.
• A completed or ongoing actuarial qualification (e.g. DAV, FIA, FCAS, SAV) is desirable.
• Sound understanding of the P&C insurance business and the related risks, preferably within the Allianz environment.
• Experience in actuarial data preparation and with simulation tools.
• Very strong analytical skills combined with a high numerical aptitude; strong conceptual abilities and the proven ability to quickly and consistently familiarise yourself with new topics.
• Agile mindset and willingness to continuously develop concepts and methodologies further.
• Very good audience-oriented communication skills, in particular the ability to communicate complex topics clearly.
• Confident appearance, high degree of self-organisation and independent working style.