Senior Physical Risk Model Analyst with geospatial experience

Descompagnons Trabalho Temporário Lda; Aveiro; Presencial; EUR 30 000 - 50 000; Tempo integral

Resumo da oferta

A recruitment agency is seeking a Risk Analyst in Aveiro, Portugal. The successful candidate will support the product and modeling teams in developing climate risk data. Key requirements include advanced knowledge in catastrophe modelling and proficiency in programming languages such as Python and R. Strong problem-solving and communication skills are essential for this role, which offers the opportunity to work in interdisciplinary teams delivering a SaaS platform focused on climate risk reporting.

Qualificações

• Experience with climate risk analytics or quantitative model validation required.
• Proficiency in programming and data analysis is essential.
• Ability to handle large datasets and work with geospatial data needed.

Responsabilidades

• Design and execute performance tests for climate risk models.
• Develop validation datasets using event and loss data.
• Benchmark model results against historical events.

Conhecimentos

Advanced knowledge of catastrophe modelling

Statistical testing

Programming (Python, R, MATLAB)

Geospatial data handling

Problem solving skills

Strong communication skills

Descrição da oferta de emprego

Overview

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

• Advanced knowledge of catastrophe modelling, climate risk analytics, or quantitative model validation
• Proven experience with statistical testing, performance metrics, and uncertainty analysis
• Proficiency in programming and data analysis (Python, R, MATLAB) and handling large datasets
• Experience with geospatial data handling (e.g., GIS tools, NetCDF, shapefiles)
• Experience benchmarking or validating risk models in insurance, reinsurance, or research settings
• Familiarity with construction typologies and event damage datasets 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

Responsibilities

• Design and execute structured performance tests for physical climate risk models across multiple hazards
• Develop validation datasets with event data, loss data, and model outputs
• Benchmark model results against historical events, peer models, and industry standards
• Identify strengths, weaknesses, and limitations of current models and propose actionable enhancements
• Develop and refine vulnerability assumptions for multiple hazards, incorporating empirical loss data, engineering insights, and expert judgement
• Analyse the influence of building design, materials, and space features on property damage potential
• Document methodologies, results, validation processes, and produce reproducible workflows