Catastrophe Risk Analyst
Role Overview
Join the Catastrophe Engineering and Analytics team in the London office.
The team conducts catastrophe-risk research and development and provides quantitative metrics to inform underwriting decisions.
Assess insured exposures across multiple perils, with primary duties calculating atmospheric-peril risk metrics and communicating results to underwriters.
Contribute to research and product development for traditional indemnity and parametric insurance solutions for new atmospheric perils.
Key Skills for This Role
Full Job Posting
Job opportunity
Join the Catastrophe Engineering and Analytics team in the London office.
The team conducts catastrophe-risk research and development and provides quantitative metrics to inform underwriting decisions.
Assess insured exposures across multiple perils, with primary duties calculating atmospheric-peril risk metrics and communicating results to underwriters.
Contribute to research and product development for traditional indemnity and parametric insurance solutions for new atmospheric perils.
Duties and responsibilities
- Use proprietary and market catastrophe models to evaluate insurance accounts and quote requests across perils including tropical cyclones, severe convective storms, floods, wildfires, earthquakes, and cyber.
- Design FastCAT parametric insurance solutions and communicate modeling results and structuring decisions to underwriters.
- Analyze meteorological observations, insurance claims, hazard models, and other datasets to improve internal risk models.
- Develop expertise in catastrophe modeling and data science techniques and apply them to risk analysis.
- Assist with research and development of catastrophe models for atmospheric perils and help bring new products to market.
Required qualifications
- BSc or MSc in meteorology, atmospheric science, natural sciences, environmental sciences, or a related field.
- Robust understanding of atmospheric science; coursework in atmospheric physics, dynamics, or related subjects is relevant.
- Proficiency in a programming language; Python, R, or MATLAB are preferred examples.
- Working knowledge of probability, statistics, or data science.
Preferred qualifications
- Experience using large datasets to investigate atmospheric science questions; independent research or data analysis experience is a plus.
- Experience analyzing numerical weather prediction output, reanalysis data, or observational meteorological measurements, with understanding of data-source strengths and limitations.
- Knowledge or experience in machine learning, neural networks, extreme value theory, Bayesian statistics, or time-series analysis.
- Strong communication skills for explaining technical concepts to technical and non-technical audiences.
- Collaborative approach and willingness to work with teammates in different locations and time zones.
What BHSI offers
- A distinctive opportunity and value proposition in the marketplace.
- Competitive package and meaningful career growth opportunities.
- A dynamic, action-oriented environment focused on doing the right thing for customers, teammates, and stakeholders.
- An organization emphasizing simplicity, individual excellence, and teamwork.
About BHSI
Berkshire Hathaway Specialty Insurance provides commercial property, casualty, and specialty insurance coverage and services to customers and brokers worldwide.
The company describes its culture as values-based, inclusive, and collaborative.
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