Knowledge and Ontology Engineer - Insurance | Knowledge and Ontology Engineer - Insurance (m/f/d)*
Münchener Rückversicherungs AG
Job Summary
This role seeks a highly motivated Knowledge and Ontology Engineer to join the Risk Intelligence and Knowledge Systems (RIKS) unit within Munich Re's Life & Health division. The primary focus is designing, developing, and operationalizing enterprise-scale ontologies and knowledge graphs that model complex relationships across mortality, medical conditions, and reinsurance contracts. Day-to-day tasks involve implementing graph infrastructure using technologies like Neo4j and RDF/OWL, developing semantic data pipelines (ETL), and collaborating closely with domain experts (underwriting, medical, pricing) to formalize domain knowledge into machine-readable structures. The successful candidate will also build APIs and visualization tools to enable self-service knowledge consumption and partner with AI/ML teams to enhance models with structured knowledge representations. This position is crucial for driving the digital transformation of the insurance industry by leveraging advanced knowledge technologies to strengthen reinsurance core services and future business models.
Required Skills
Education
Advanced degree in Computer Science, Information Science, Knowledge Engineering, Computational Linguistics, or similar
Experience
- Several years of hands-on experience designing and implementing ontologies, knowledge graphs, or semantic systems in production environments
- Professional experience in knowledge modelling, data architecture, or business intelligence in insurance or financial services (preferred)
- Experience with building knowledge graph pipelines, APIs, and integration layers
Languages
Additional
- Familiarity with data governance, data privacy, and regulatory frameworks in (re)insurance