Catastrophe Risk Analyst

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Learn more about our unique culture and history .

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for a Catastrophe Risk Analyst to join the Catastrophe Engineering and Analytics (CAT E&A) team in our London office. The CAT E&A group is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions. The successful candidate will join the team responsible for the risk assessment of insured exposures across multiple perils. Your primary duties will involve calculating risk metrics for atmospheric perils and communicating these results to underwriters. As you grow in this role, you will also contribute to the research and product development of traditional indemnity and parametric insurance solutions for new atmospheric perils.

BSc or MSc in meteorology, atmospheric science, natural or environmental sciences, or a related field. This role requires a robust understanding of atmospheric science, and ideally modules taken should reflect this (e.g., atmospheric physics/dynamics, or related classes).

Proficiency in a programming language (Python, R, or MATLAB preferred).

Working knowledge of probability, statistics, or data science.

Experience using large datasets to investigate research questions in atmospheric science. Demonstrated experience conducting independent research and data analysis (e.g., thesis/dissertation project) is a plus.

Previous experience analyzing meteorological datasets such as numerical weather prediction model output, reanalysis model data, or observational measurements (e.g., remote sensing or instrumentation data), and an understanding of the benefits and limitations of different data sources.

Knowledge of and experience using advanced data techniques such as machine learning, neural networks, extreme value theory, Bayesian statistics, or time-series analysis.

Strong communication skills and an ability to explain technical concepts in a clear and easy to understand manner for both technical and non-technical audiences.

A collaborative mindset and willingness to work with team members in different locations/time zones

A company with a truly unique opportunity and value proposition in the marketplace.

A competitive package and meaningful career growth opportunities.

A dynamic, action-oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders.

A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.

To apply, please submit your CV with a cover letter outlining why this would be the perfect role for you to [email protected] .

NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.