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Senior Actuarial Analyst

smarta minds GmbH

Location

Remote

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

(Senior) Actuarial Analyst (gn) – P\&C

πŸ“ Munich \| International Insurance Group \| Hybrid

About the company

A globally operating insurance group with a strong footprint in Munich, focusing on data-driven decision-making, modern actuarial methodologies and cross-border collaboration. The environment is international, fast-paced and highly analytical.

Your impact

Do you want to work on actuarial topics that actually influence business decisions?

Do you enjoy turning complex data into clear recommendations for senior stakeholders?

This role combines

deep actuarial work with real strategic visibility

.

Your responsibilities

  • Perform actuarial reserving analyses across international entities
  • Translate complex datasets into clear, decision-relevant insights
  • Present results to senior stakeholders and support strategic decisions
  • Drive automation and improvement of reserving and reporting processes
  • Collaborate with global and local stakeholders across functions
  • Contribute to actuarial governance and consistent standards

Your profile

  • Degree in actuarial science, mathematics, statistics or similar
  • Actuarial qualification (DAV or equivalent), completed or in progress
  • Relevant experience in P\&C insurance (e.g. reserving, claims, underwriting)
  • Background in insurance or auditing (Big4 / Next10 is a plus)
  • Strong analytical mindset and structured way of working

Must-have

  • Solid P\&C actuarial experience
  • Strong analytical capabilities
  • Fluent business English

Nice-to-have

  • Experience in international environments
  • Programming / data skills (e.g. Python)
  • Additional language skills (e.g. German)

What’s in it for you

  • International setup with high visibility
  • Real ownership and impact on business decisions
  • Competitive compensation incl. bonus
  • 38h week, flexible working hours, 30 days vacation
  • Hybrid working model
  • Strong development and learning opportunities

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