Senior Climate Risk Analyst with geospatial experience

Descompagnons Trabalho Temporário Lda; Coimbra; Presencial; EUR 30 000 - 45 000; Tempo integral

Resumo da oferta

A leading consultancy firm in Coimbra is seeking a passionate Risk Analyst to develop climate risk assessment frameworks and analyze exposure data. The ideal candidate has a strong background in quantitative analytics and experience with programming languages like Python and R. You will collaborate with multidisciplinary teams to enhance climate risk models and document analytics processes. This position offers an opportunity to contribute to innovative geospatial solutions.

Qualificações

• 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 data analysis.
• Experience with geospatial data handling (e.g., GIS tools).

Responsabilidades

• Develop analytical frameworks for climate risk assessments.
• Benchmark physical risk exposure of assets and locations.
• Design and document analytics workflows for reproducibility.
• Collaborate with data scientists and climate experts.
• Integrate new scientific research into climate risk assessments.

Conhecimentos

Quantitative analytics

Climate risk assessment

Applied economics

Risk modelling

Python

R

MATLAB

GIS tools

Descrição da oferta de emprego

We are looking for a passionate Risk Analyst to help our product and modelling teams develop asset level and exposure data assets, as well as improve name matching abilities.

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 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
• 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

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