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Munich Re – Life Data Graduate Learner

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Description

Munich Re is recruiting a Life Data Graduate Learner to support life data management work within the Munich Reinsurance Africa Branch team. The programme combines structured soft-skills and technical training with workplace exposure, including working with treaty data requirements and transforming client data for analysis.

About Munich Re

Munich Re is a reinsurance and insurance organisation that provides risk solutions and financial protection services by supporting insurers and businesses with coverage, risk management, and data-driven decision-making.

Programme\Position Offerings

  • Position Title: Life Data Graduate Learner
  • Company: Munich Re (Munich Reinsurance Africa Branch Team)
  • Location: Johannesburg, South Africa
  • Work Mode: Hybrid
  • Job Type: Full-Time
  • Employment Type: Temporary
  • Job Level: Graduate & Entry-Level
  • Area of Expertise: Data, BI & Analytics
  • Programme Duration: 12 months fixed-term contract (with a possible 12-month extension)
  • Qualification Included: INSETA Learnership: FETC – Short-Term Insurance Qualification
  • Development Support: Learning and development opportunities + soft skills and technical training

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Key Responsibilities

  • Take part in soft skills and technical training.
  • Conduct daily team-specific tasks.
  • Participate in team deliverables and contribute to team and business projects.
  • Gain exposure to Life Data Management.
  • Work with treaties by:
    • Identifying and documenting treaty data requirements.
    • Identifying and documenting standard treaty information.
    • Identifying and documenting treaty product information.
    • Identifying and documenting treaty-specific conditions.
  • Work with data by:
    • Transforming client data into a re-usable format for analysis.
    • Identifying gaps between treaty data requirements, data standard requirements, and the data provided by clients.

Attributes Required

  • Driven and passionate about data.
  • Strong coding/programming capability.
  • Able to work under pressure and multitask.
  • Good working knowledge of Excel and other MS tools.

Eligibility Criteria

  • Bachelor of Science with Statistics as a major (excellent academic record).

How to Apply

Please ensure that your application includes an updated CV and any relevant supporting documents.

  • Job ID: 12035
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