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ALAllianz Direct

P&C Risk Analyst(m/w/x)

München
Full-timeOn-siteSenior

Developing internal risk capital models and calibrating underwriting risk components for a pan-European online insurer. At least 5 years of actuarial experience in P&C insurance or quantitative risk management required. Contribution to group-wide projects and special topics.

Requirements

  • University degree, ideally mathematical focus
  • At least 5 years actuarial experience in P&C insurance or quantitative risk management
  • Completed or ongoing actuarial qualification desirable
  • Understanding of P&C insurance business and risks
  • Experience in actuarial data preparation
  • Experience with simulation tools
  • Strong analytical skills and numerical aptitude
  • Strong conceptual abilities
  • Ability to quickly learn new topics
  • Agile mindset
  • Willingness to develop concepts and methodologies
  • Audience-oriented communication skills
  • Ability to communicate complex topics clearly
  • Confident appearance
  • High self-organisation
  • Independent working style
  • Applied statistics knowledge
  • Applied stochastic modelling knowledge
  • Applied simulation techniques knowledge
  • Familiarity with Solvency II concepts
  • Experience building or contributing to internal/partial models required
  • Proficiency in Python, R, or similar programming language
  • Good knowledge of actuarial data handling
  • Experience with large datasets is a plus
  • Solid Excel skills
  • Experience with reporting/visualisation tools
  • Very good command of English (spoken and written)
  • Additional language skills are a plus

Tasks

  • Contribute to internal risk capital model development
  • Design and calibrate underwriting risk model components
  • Perform risk capital calculations and scenario analyses
  • Analyse and manage accumulation risks
  • Support group-wide projects and special topics
  • Prepare decision papers and presentations
  • Provide analytical input for internal and external reporting
  • Contribute to annual Top Risk Assessment updates
  • Build data foundations and tooling for risk framework
  • Ensure robust, audit-ready quantitative risk processes

Work Experience

  • 5 years

Education

  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • R
  • Excel
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