Principal Catastrophe Scientist

Overview

Position Summary:

The Principal Catastrophe Scientist is responsible for advanced catastrophe risk analyses, leveraging both industry-standard platforms—such as Verisk (AIR), RMS (Moody’s), and others—and the development of proprietary modeling approaches. The successful candidate will participate in strategic planning and will plan priorities for and manage multiple project streams in partnership with the Sr. Director of Climate and Catastrophe Science. This role requires deep expertise in hazard modules and event sets, including large catalogs of simulated natural hazard footprints that define magnitude, location, path, and probability of occurrence.

This individual will contribute to and lead the development of actionable insights that inform pricing, underwriting, and reinsurance strategies. The role demands a highly analytical and technically skilled professional who can independently contribute to and also direct multiple priorities and projects to meet Mercury’s standard of excellence in catastrophe modeling analytics.

Collaboration is key, as the Principal Catastrophe Scientist, you will partner with Actuaries, Research and Development, State Product Management, Underwriting, and other stakeholders to translate catastrophe risk assessments into effective business decisions.

 

 

Responsibilities

Essential Job Functions: 

• Lead and contribute to analytics that leverage state-of-the-art catastrophe models and the development of proprietary methods to analyze perils such as wildfires, urban conflagrations, fire-following earthquakes, severe convective storms, and hurricanes.

• Ensure delivery of real-time risk analytics and detailed loss estimates, including footprint analyses to assess event impact.

• Lead and contribute to the refinement of model assumptions by adjusting event frequency, vulnerability curves, and loss scaling to incorporate proprietary insights and market expertise.

• Partner with internal teams—including Actuaries, Research & Development, State Product Management, and Underwriting—to integrate catastrophe model output into pricing, underwriting, and reinsurance workflows.

• Lead and contribute to the enhancement of catastrophe modeling frameworks and improvement of overall risk quantification for application in pricing, underwriting, and reinsurance workflows.

• Develop reports, presentations, and data visualizations to effectively communicate findings to technical and non-technical teammates.

• Lead and contribute to the evaluation and comparison of third-party models, refining event catalogs and developing custom solutions to ensure up-to-date and comprehensive risk assessment.

• Ensure that the team remains at the forefront of industry advancements, including improvements in event simulation, hazard footprint resolution, and catastrophe modeling methodologies.

 

 

Qualifications

Education: 

Minimum: Ph.D. or equivalent combination of education and experience is required with an emphasis in analytical concentration such as applied environmental sciences, math, statistics, economics, finance, quantitative research, etc.

 

Preferred: Ph.D. with an emphasis in analytical concentration such as applied environmental sciences, math, statistics, economics, finance, quantitative research, etc.

Experience:

Minimum: 10-Years + Ph.D. or equivalent combination of education and experience

 

Preferred: 15-Years + Ph.D.

 

Knowledge and Skills:

Minimum: 

• Expertise with catastrophe modeling software such as Verisk-AIR, RMS-Moody's or other platforms.

• Expertise analyzing complex data sets and interpret model outputs to assess catastrophe risks.

• Expert quantitative skills for calculating metrics like Average Annual Loss (AAL), Exceedance Probability (EP), Value at Risk (VaR), Tail Value at Risk (TVaR), and other standard measures.

• Expert communication skills for presenting complex model results to non-technical teammates.

• Proven ability to lead adaptation to new models, technologies, and methodologies in a rapidly evolving field.

• Ongoing expertise on the latest scientific research, modeling techniques, and industry trends.

• Highly motivated and driven individual with excellent critical thinking and problem-solving skills.

Preferred: 

• A strong foundation in environmental sciences such as meteorology, hydrology, geophysics, or geology.

• Expertise in programming languages and tools like Python, SQL, NumPy, Pandas, SciPy, Dask, PySpark, etc.

• Expertise with simulation techniques, stochastic modeling, probabilistic methods, geospatial analysis, and machine learning.

• Extensive experience in applying advanced quantitative methods to measure and analyze insurance catastrophe risk.

• Expertise in catastrophe risk management including rating, underwriting, and reinsurance.

• Up-to-date knowledge of emerging climate change trends and their potential impacts on the insurance industry.

 

 

Pay Range

USD $126,294.00 - USD $246,043.00 /Yr.