Catastrophe Risk Analyst — Modeling & Underwriting

Berkshire Hathaway Specialty Insurance Company; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive package

Meaningful career growth opportunities

Dynamic, action-oriented environment

Job summary

Berkshire Hathaway Specialty Insurance (BHSI) in London is seeking a Catastrophe Risk Analyst to join the CAT E&A team. You will evaluate catastrophe exposures across perils using proprietary models and communicate results to underwriters.

You will develop new parametric solutions, analyse meteorological data, and advance catastrophe modelling and data science techniques in collaboration with colleagues across locations.

Qualifications

• BSc or MSc in meteorology, atmospheric science, natural or environmental sciences, or a related field.
• Proficiency in Python, R or MATLAB.
• Working knowledge of probability, statistics or data science.

Responsibilities

• Utilize proprietary and market catastrophe models to evaluate accounts and develop insights for quotes for catastrophe risks.
• Design parametric insurance solutions (FastCAT) and communicate modelling results to underwriting.
• Perform data analysis on meteorological and claims data to improve internal risk models.
• Develop expertise in catastrophe modelling and data science techniques and apply to atmospheric perils.
• Assist with research and development to design catastrophe models for atmospheric perils and new products.

Skills

Programming languages

Probability & statistics

Data science concepts

Education

BSc or MSc in meteorology, atmospheric science, natural or environmental sciences

Job description

Berkshire Hathaway Specialty Insurance (BHSI) in London is seeking a Catastrophe Risk Analyst to join the CAT E&A team. You will evaluate catastrophe exposures across perils using proprietary models and communicate results to underwriters.

You will develop new parametric solutions, analyse meteorological data, and advance catastrophe modelling and data science techniques in collaboration with colleagues across locations.