Scientist (Loss modelling: physical risk from weather and climate)

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Scientist (Loss modelling: physical risk from weather and climate)

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About Us

At Climate X, we're building global-scale models to assess the physical risks of climate change. We are seeking a scientist with a strong background in applied statistics and physical loss modelling. This role is ideal for someone experienced with natural catastrophe models and comfortable working with large geospatial and financial loss datasets. We combine observation data and model outputs at both local and global scales to project physical impacts of climate change, such as floods, subsidence, storms, droughts, and wildfires. You will be a key contributor to the development, calibration and validation of loss models that support our mission to help clients assess and manage climate risks.

About Us

At Climate X, we're building global-scale models to assess the physical risks of climate change. We are seeking a scientist with a strong background in applied statistics and physical loss modelling. This role is ideal for someone experienced with natural catastrophe models and comfortable working with large geospatial and financial loss datasets. We combine observation data and model outputs at both local and global scales to project physical impacts of climate change, such as floods, subsidence, storms, droughts, and wildfires. You will be a key contributor to the development, calibration and validation of loss models that support our mission to help clients assess and manage climate risks.

The impact you'll own

• Loss Model Development: Research and implement loss models that quantify climate-related risks, focusing on robustly estimating asset vulnerabilities.
• Model Calibration & Validation: Calibrate and validate loss models against a wide variety of data sources, both qualitatively and quantitatively to ensure they meet rigorous scientific standards.
• Framework Development: Contribute to building our overall loss modelling framework, ensuring robustness and adaptability across diverse client requirements and geographies.
• Disseminate scientific insights and methods through model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events.
  
  

• Prior experience in building and calibrating loss models using statistical and mathematical modelling approaches, ideally across multiple perils.
• Proficiency working with geospatial data (climate and Earth Observation) and observed or modelled economic damage datasets.
• Strong programming skills in Python/R or another language.
• Strong communication skills with ability to explain complex concepts to a non-technical audience.
• Ability to work independently and contribute to a fast-moving research and development environment.
  
  

• Expertise in catastrophe modelling, especially in the exposure and vulnerability domain.
• Applied statistical skills, including uncertainty quantification, Bayesian statistics and/or Extreme Value Theory.
• Machine learning knowledge with applications in climate risk assessment.
• Experience with cloud computing (e.g. AWS/Google Cloud)
  
  

• PhD or equivalent experience in climate science, hazard modelling, statistical analysis and remote sensing.
• Minimum of 3 years of industry experience in statistical or catastrophe modelling.
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Climate Data and Analytics

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