Develop geospatial models and data processing pipelines to assess risk and impact of natural climate hazards
Combine geospatial data from different sources to estimate the current and future probability of impactful events across multiple regions
Use extensive knowledge in (geospatial) climate modelling, and quantitative research skills to work in a cloud-based analytics environment
Produce climate risk indicators, and support in broader sustainability analytics
Engage with scientists and external initiatives to stay up to date with the latest developments
Use geospatial analytics and climate data to deliver concrete insights on climate risk and impact for Rabobank’s global activities

Master’s degree or PhD in environmental sciences, geosciences or a related quantitative field
At least 3 years of relevant experience in climate science, environmental modelling or sustainability analytics
Strong programming skills (Python is preferred)
Experience in geospatial data analysis (with GeoPandas / xarray and/or ArcGIS)
Solid grounding in climate science and environmental modelling
A solid foundation of data science and Generative AI is a plus
Experience working in cloud environments, preferably Azure (Databricks, DevOps) and version control (Git) is a plus
Knowledge or experience of working in climate change and sustainability would be an asset
Ability to communicate research results effectively by translating complex information to clients and stakeholders
Fluent in English, both verbally and in writing
Proficiency in Dutch is considered an advantage.

Thirteenth month's salary and 8% holiday allowance
10% Employee Benefit Budget
EUR 1,400 development budget per year
Hybrid working: balance between home and office work
A pension, for which you can set the maximum amount of your personal contribution

Quantitative Analyst, Climate

Key skills