Offer summary

Qualifications:

Master's or Ph.D. in Meteorology, Climate Science, Data Science, or related field., Proficiency in Python for data analysis and machine learning., Experience with climate and catastrophe modeling tools and datasets., Strong analytical skills and ability to communicate complex concepts effectively..

Key responsibilities:

Enhance hazard and loss modeling capabilities, including flood and storm modeling.

Collaborate with teams on multi-hazard modeling initiatives and client solutions.

Build and refine climate scenario models using statistical and machine learning techniques.

Prepare reports and presentations to communicate findings to stakeholders.

Job description

Job Title: Climate ScientistCatastrophe Modeler

Position Overview: We are seeking a highly motivated and technically skilled Climate ScientistCatastrophe Modeler to join our team. The ideal candidate will have a strong foundation in meteorology, climate science, or data science, coupled with technical expertise in Python programming and machine learning. This role will play a pivotal part in advancing our hazard modeling, loss modeling, and climate scenario research, with applications in the insurance and reinsurance industries, as well as risk management teams more broadly.

Key Responsibilities:

Hazard Modeling:
- Enhance flood modeling capabilities, either by developing inhouse solutions or integrating external tools.
- Improve severe convective storm (SCS) modeling
- Contribute to earthquake and tsunami modeling, exploring new methodologies and frameworks.
- Advance tropical cyclone modeling.
- Collaborate with internal teams on multihazard modeling initiatives.
- - Loss Modeling:
    - Calibrate and validate damage models against a diverse range of data sources, including historical claims data, engineering and materials research, government data, and more.
    - Reimagine portfolio calculations for probable maximum loss (PML) by developing regionwide simulations and integrating eventbased loss calculations.
    - Enhance our overall loss modeling framework by integrating advanced quantitative methods, Bayesian statistics, extreme value theory, and machine learning where applicable.
    - - Climate Scenario Research:
        Build and refine statistical and machine learning models, such as LSTMs, to project SCS perils and other climaterelated risks.
        Explore climate scenarios beyond CMIP6 frameworks to better capture future risks, including more shortterm scenarios.
        CrossFunctional Collaboration:
        Work closely with insurance and reinsurance clients to tailor solutions for financial risk analysis.
        Prepare detailed reports and presentations for internal stakeholders and clients.
        Act as a subject matter expert on climate change risk and catastrophe modeling, effectively communicating complex concepts to nontechnical audiences.
        Required Skills and Qualifications:
        Advanced degree (Master’s or Ph.D.) in Meteorology, Climate Science, Data Science, or a related field.
        Strong proficiency in Python for data analysis, modeling, and machine learning applications.
        Demonstrated experience with machine learning projects; AI experience is a plus.
        Knowledge of meteorology, climate modeling, and catastrophe modeling.
        Familiarity with industrystandard catastrophe modeling tools.
        Experience working with climate data is highly desirable, such as ERA5 Reanalysis, radar data, CMIP6 data.
        Strong analytical and problemsolving skills, with an ability to handle complex datasets.
        Excellent communication skills, both written and verbal, for effective collaboration and presentation of results.
        Preferred Experience:
        Prior experience within the catastrophe modeling space.
        Handson experience with flood modeling, including hydrology and hydrodynamic modeling techniques.
        Familiarity with financial modeling for insurancereinsurance purposes, including PML calculations.
        Contributions to published research or demonstrated project work in climate science or catastrophe modeling.
        What We Offer:
        Opportunity to work on cuttingedge hazard and climate modeling projects with realworld applications.
        A collaborative environment where your contributions will directly impact strategic goals.
        Support for continued professional development and research initiatives.
        Competitive compensation and benefits package.