Senior Physical Risk Model Analyst with geospatial experience
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 Saa
S 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, net
CDF, shapefiles) - Experience benchmarking or validating risk models in insurance, reinsurance, or research settings
- Familiarity with construction typologies, and
- event damage datasets desirable - Strong
- 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,
- party 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
- Informações detalhadas sobre a oferta de emprego
Empresa: Intellias Localização: Faro
Faro, Faro District, PortugalPublicado: 25. 9. 2025
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