Our International Graduate Trainee Programme offers you exciting insights and a thorough introduction to the diverse activities of a leading global reinsurer. This provides you with the exceptional opportunity to advance your expertise and drive your personal development.

Over a period of 24 months, including an international assignment, you will receive in-depth training in underwriting as well as in professional, methodological and social skills. This will prepare you to assume responsibility at Munich Re worldwide. We are looking for eager graduates who seek to actively shape the future of our business together with us. If you enjoy embracing innovation in a very dynamic and challenging environment, we are looking forward to your application.

As part of the ongoing digital transformation of underwriting, we are seeking a Graduate Trainee – AI Implementation to support the application of Artificial Intelligence (AI), Generative AI (GenAI), and automation technologies within the Parametric Natural Catastrophe (NatCat) underwriting team, with a particular focus on NatCat modelling and analytics topics.

Your Job

• Supporting the implementation of AI, GenAI, and agent-based solutions across the underwriting lifecycle with a clear focus on NatCat modelling and risk assessment topics
• Actively supporting in building, testing, and integrating solutions, including writing code, configuring agent-based workflows, and connecting AI components with existing underwriting systems
• Experience the opportunities and insights offered by one of the world's leading risk managers
• Participate in an international assignment of 12 weeks to broaden your intercultural experience
• Acquire profound knowledge of our business as well as further developing your soft skills in our distinguished global learning programme
• Take the opportunity to quickly build a broad network of industry experts within Munich Re worldwide

Your Profile

• Very good university degree in Data Science, Computer Science, Engineering, Statistics, Geosciences, or a related quantitative field
• Initial work experience (e.g. internships or up to two years of work experience after graduation), ideally in the field of Data Science, AI or Geodata processing
• At least three months experience abroad (studies or internship/work experience abroad)
• Solid practical skills in at least one programming or scripting language (Python, R, Matlab)
• Strong interest in applied AI, machine learning, or Generative AI in a real-world business environment, ideally in the context of natural catastrophe risk modelling
• Foundational knowledge of statistics and data analysis, including experience working with real-world datasets
• Experience or exposure to geospatial data is a strong advantage
• Strong analytical skills, structured approach to problem-solving, and high attention to detail
• Ability to collaborate effectively with technical and non-technical stakeholders in a regulated environment and willingness to learn
• Strong written and verbal communication in English required, German is an advantage

Application Instructions

Please apply through our online portal and upload your CV, as well as your academic reference letters, including school certificates, graduation certificates and transcripts of record for any degrees. If applicable, please also submit reference letters from any previous employers or certificates from any other qualifications you may have. We recommend writing a cover letter to tell us more about why the position and Munich Re is of interest to you.

About us

As the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.

Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation.

Sounds like you? Push boundaries with us and be part of Munich Re.

Our employees are our greatest strength. That’s why we offer them a wide range of benefits. You can find some examples below.

Unlock your potential

• Diversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better.
• Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.
• Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you.

Rewards & Recognition

• Competitive salary: appropriate compensation for your high level of commitment.
• Retirement provision: state of the art in-house pension solutions.
• Work-life balance: promoting the compatibility of family and work in addition to overall work-life balance.
• Health management: focus on your physical and mental health far beyond legal requirements.
• Hybrid working: living the best of both worlds – we offer you a very flexible approach as well as the opportunity to work from abroad on an occasional basis.
• Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunities employer. Severely disabled candidates will also be prioritized, if equally qualified.

Münchener Rückversicherungs-Gesellschaft
Laura Fuchs • Consultant Talent Acquisition