Senior Climate Risk Analyst with geospatial experience

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

Descripción de la vacante

A consultancy specializing in climate risk is seeking a Senior Climate Risk Analyst. This role involves developing analytical frameworks for climate risk assessments and benchmarking risk exposure of assets using geospatial data. The ideal candidate has strong quantitative skills and experience with programming languages such as Python or R. Excellent communication skills and a B2 level of English are required for collaborating with multidisciplinary teams in a remote work environment.

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, or 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.
• Strong communication skills and readiness to collaborate remotely.

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 into climate risk assessments.
• Document modelling methodologies and validation processes.
• Present model results and risk assessments to stakeholders.

Conocimientos

Quantitative analytics

Climate risk assessment

Risk modelling

Python

R

MATLAB

Geospatial data handling

Problem-solving skills

Communication skills

English (B2)

Educación

Bachelor's degree or equivalent

Herramientas

GIS tools

Descripción del empleo

Senior Climate Risk Analyst with geospatial experience

Location

Remote from Spain (Spanish employment contract)

Project Overview

Our modular climate risk offering is built to meet the complex needs of insurers, banks, corporates, and real estate investors. Through the SaaS platform, Location Risk Intelligence, we deliver an advanced geospatial solution that empowers clients with location-specific climate risk data worldwide, enabling them to make informed decisions on climate risk reporting, underwriting, and investments.

Requirements

• 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, or 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
• Solid understanding of supply chain modelling desirable
• Strong problem-solving skills and ability to work in interdisciplinary teams
• Strong communication skills, clear documentation habits, and readiness to collaborate remotely with multidisciplinary teams
• At least B2 level of English.

Responsibilities

• Develop analytical frameworks for climate risk assessments
• Benchmark physical risk exposure of assets and locations using internal datasets, third-party data, and industry standards
• Design and document analytics workflows, ensuring reproducibility and transparency
• Collaborate with data scientists, software developers, and climate experts to ensure model robustness and scalability
• Integration of new scientific research and climate change scenarios to enhance climate risk assessments
• Document modelling methodologies, assumptions, and validation processes
• Present model results and risk assessments to internal stakeholders