Senior Climate Risk Analyst — Geospatial Modelling (Remote)

Intellias; Madrid; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading analytics firm is seeking a Senior Climate Risk Analyst with geospatial experience to join its team remotely from Spain. The role involves developing climate risk analytical frameworks, collaborating with data scientists, and presenting assessments to stakeholders. Candidates should have a strong background in climate risk and quantitative analytics, proficiency in programming languages like Python, and experience with geospatial data handling. This position offers opportunities to work on innovative projects with a focus on climate risk reporting and assessments.

Formación

• Strong background in quantitative analytics, climate risk assessment, or applied economics.
• Demonstrated experience in risk modelling or economic assessments.
• Proficiency in programming languages such as Python, R, MATLAB for scientific and geospatial data analysis.
• Experience with geospatial data handling (e.g., GIS tools, netCDF, shapefiles).
• Knowledge of climate risk concepts, physical hazard datasets, and vulnerability assessment techniques.

Responsabilidades

• Develop analytical frameworks for climate risk assessments.
• Benchmark physical risk exposure of assets and locations.
• Design and document analytics workflows, ensuring reproducibility.
• Collaborate with data scientists and climate experts.
• Integrate new scientific research and climate change scenarios.
• Document modelling methodologies and validation processes.
• Present model results to internal stakeholders.

Conocimientos

Quantitative analytics

Climate risk assessment

Programming (Python, R, MATLAB)

Geospatial data handling

Problem-solving

Communication skills

Educación

At least B2 level of English

Herramientas

GIS tools

Descripción del empleo

A leading analytics firm is seeking a Senior Climate Risk Analyst with geospatial experience to join its team remotely from Spain. The role involves developing climate risk analytical frameworks, collaborating with data scientists, and presenting assessments to stakeholders. Candidates should have a strong background in climate risk and quantitative analytics, proficiency in programming languages like Python, and experience with geospatial data handling. This position offers opportunities to work on innovative projects with a focus on climate risk reporting and assessments.