Senior Storm Risk Modeller with with geospatial experience

Descompagnons Trabalho Temporário Lda; Braga; Presencial; EUR 35 000 - 55 000; Tempo integral

Resumo da oferta

A leading staffing agency in Portugal is seeking a Risk Modeller to develop storm hazard models and analyze climate risk data. The ideal candidate has a strong background in storm hazard modelling, proficiency in programming languages such as Python or R, and experience with geospatial data handling. This role offers an opportunity to collaborate with experts in a dynamic environment.

Qualificações

• Proven track record in storm hazard modelling.
• Experience with programming languages such as Python, R, or MATLAB.
• Knowledge of statistical modelling and uncertainty quantification.

Responsabilidades

• Develop and enhance storm hazard models.
• Collaborate with teams to ensure model robustness and scalability.
• Document modelling methodologies and present results.

Conhecimentos

Storm hazard modelling

Python

R

MATLAB

Geospatial data handling

Problem-solving

Ferramentas

GIS tools

Descrição da oferta de emprego

Overview

We are looking for a passionate Risk Modeller 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

• Proven track record in storm hazard modelling in applied research or risk assessment / climate risk contexts
• 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)
• Experience handling reanalysis data and climate model outputs
• Knowledge of statistical modelling, extreme value theory, and uncertainty quantification
• Strong problem-solving skills and ability to work in interdisciplinary teams

Responsibilities

• Develop and enhance storm hazard models (Tropical Cyclone, Extratropical Storm, Tornado)
• Analyse historical event data, hazard footprints, and exposure information to calibrate and validate models
• Provide hazard footprint generation and event updates
• Collaborate with data scientists, software developers, and climate experts to ensure model robustness and scalability
• Integration of new scientific research and climate change scenarios into hazard models
• Document modelling methodologies, assumptions, and validation processes
• Present model results and risk assessments to internal stakeholders