Global reinsurer scaling AI risk models and cloud data infrastructure
Munich Re is a 140+ year old reinsurer operating across all insurance lines, now modernizing its risk-assessment and underwriting infrastructure. The tech stack reveals a shift toward cloud-native analytics (Databricks, Azure, Delta Lake, SAP BTP) while phasing out legacy databases (Oracle, SQL Server), paired with adoption of PyTorch and JAX for uncertainty quantification in AI. Hiring spans finance (largest cohort), engineering, and data teams, with active projects focused on pricing models, BI enhancements, and process automation—signaling investment in both analytical depth and operational efficiency.
Notable leadership hires: Technical Lead
Munich Re is one of the world's largest reinsurers, with operations across primary insurance, reinsurance, and insurance-related risk solutions. The company serves businesses, institutions, and private individuals globally, offering coverage across traditional lines (marine, construction, life, health) and non-standard risks (cyber, renewable energy, space launches, pandemics). The organization spans 10,000+ employees across more than 15 countries, including major hubs in Germany, the United States, the United Kingdom, and Asia-Pacific. Active hiring is concentrated in finance, engineering, and data roles, with ongoing projects in pricing-model development, underwriting automation, and enterprise analytics infrastructure.
Databricks, Azure Data Factory, Delta Lake, SQL, Python, Tableau, Power BI, and SAP S/4HANA. Currently adopting SAP BTP and SAP AI; phasing out Oracle and SQL Server.
Key projects include AI uncertainty-quantification methods for risk assessment, underwriting-policy and pricing-model development, BI enhancements, process automation, and cloud infrastructure modernization (SAP, Databricks, Azure).
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