Senior Climate Risk Analyst - Geospatial Modelling Lead

Intellias; A distancia; EUR 45.000 - 60.000; Jornada completa

Descripción de la vacante

A leading tech company in Spain is looking for a passionate Risk Analyst to enhance their climate risk offerings. The ideal candidate will develop analytical frameworks and collaborate with cross-functional teams to produce reliable climate risk assessments. Key qualifications include a strong background in quantitative analytics, risk modelling experience, and proficiency in programming languages such as Python, R, or MATLAB. Join a dynamic environment where your contributions are vital to our success.

Servicios

Equity, diversity, and inclusion initiatives

Support for professional growth

Comfortable work atmosphere

Formación

• Strong background in quantitative analytics, climate risk assessment, or applied economics.
• Demonstrated experience in risk modelling or economic assessments.
• Proficiency in programming languages (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 and vulnerability assessment techniques.
• Strong problem-solving skills and ability to work in interdisciplinary teams.

Responsabilidades

• Develop analytical frameworks for climate risk assessments.
• Benchmark physical risk exposure of assets and locations using internal datasets.
• Design and document analytics workflows ensuring reproducibility and transparency.
• Collaborate with data scientists, software developers, and climate experts.

Conocimientos

ClimateRiskExpertise

DataAnalysis

Datasets

GIS

Python

Herramientas

Python

R

MATLAB

Descripción del empleo

A leading tech company in Spain is looking for a passionate Risk Analyst to enhance their climate risk offerings. The ideal candidate will develop analytical frameworks and collaborate with cross-functional teams to produce reliable climate risk assessments. Key qualifications include a strong background in quantitative analytics, risk modelling experience, and proficiency in programming languages such as Python, R, or MATLAB. Join a dynamic environment where your contributions are vital to our success.