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Senior Physical Risk Model Analyst with geospatial experience

Senior Physical Risk Model Analyst with geospatial experience

IntelliasLisbon, Portugal
Há 4 dias
Descrição do cargo

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 location-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 post-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 peer-model outputs

Benchmark model results against historical events, third-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 defensible-space features on property damage potential

Document methodologies, results, validation processes, and produce reproducible workflows

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