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Master Degree in a quantitative field - natural/environmental/atmospheric science, mathematics, physics or statistics.
Good understanding of Climate Change and Natural Hazards science, models, and their practical implementation.
Knowledge and understanding of cat modelling tools (incl. open source) ideally gained in the finance or insurance industry.
Hands on experience on data modelling, analytics and visualization tools (e.g. Python, Power BI, MATLAB, SQL, etc) as well as strong statistical and analytical skills.
Experience in modelling large data sets and machine learning techniques is beneficial.
The ability to clearly communicate relevant details with all levels of management and stakeholders of various levels of technical proficiency.
Consulting experience is a plus, i.e. commercially oriented with an ability to understand customer needs and identify opportunities for providing services.
Climate Risk Modeller, Zurich Resilience Solutions, temporary for 8 months 80%-100%
ZurichPosted 2 weeks ago
Full-timeonsitemid