Catastrophe Risk Analyst

Berkshire Hathaway Specialty Insurance; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading insurance provider is seeking a Catastrophe Risk Analyst to join its London team. The role involves utilizing catastrophe models for risk evaluation, analyzing data sets to enhance insurance solutions, and developing expertise in catastrophe modeling. Candidates should have a relevant academic background and 1-3 years of industry experience. The company offers a competitive package within a non-bureaucratic, dynamic environment focused on excellence and teamwork.

Benefits

Competitive salary and packages

Unique growth opportunities

Dynamic work environment

Qualifications

• 1-3 years of industry experience preferred.
• Advanced knowledge of risk evaluation methods.
• Strong analytical and problem-solving capabilities.

Responsibilities

• Utilize catastrophe models for risk evaluations.
• Analyze data sets to support model development.
• Propose innovative solutions impacting underwriting.

Skills

Probability theory

Statistics

Data science

Communication skills

Programming (Python, R, MATLAB, SQL, GIS)

Education

B.S. or M.S. in civil engineering, atmospheric science, earth science, actuarial science, mathematics, or a related field

Tools

GIS

Python

R

MATLAB

SQL

Job description

Job Opportunity

BHSI is seeking a technically minded and passionate Catastrophe Risk Analyst with a background in engineering or science to join our Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team that conducts CAT-risk evaluations for traditional and parametric insurance solutions, develops independent risk models, and provides quantitative loss metrics to inform underwriting decisions. This opportunity is in our London / European offices.

Duties & Responsibilities

• Utilizing proprietary and market catastrophe models to evaluate and develop insights for a diverse range of requests for quotes for catastrophe risks such as, but not limited to, earthquakes, tropical cyclones, severe convective storms, floods, wildfires, cyber attacks etc.
• Structure and evaluate technical pricing metrics for parametric insurance solutions (FastCAT) for catastrophe risks
• Analyze and collect data sets from claims, insurance quotes, hazard models, structural analysis, geospatial sources, and various other public / proprietary datasets to help build catastrophe models and an understanding of structuring and pricing decisions
• Develop and maintain expertise in catastrophe modelling and data science techniques, and their application to understanding risk
• Work with domain experts across teams and perils to enhance our use of available data
• Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions

Qualifications, Skills and Experience

• B.S. or M.S. (preferred) in civil engineering, atmospheric science, earth science, actuarial science, mathematics, data science, or a related field
• 1-3 years of industry experience is preferred
• Advanced knowledge of probability theory, statistics, data science
• Practical experience in insurance, catastrophe model development, infrastructure or community resilience, and / or exposure data collection
• Experience applying probability and statistical techniques to structural performance, natural catastrophe hazard, building exposure data, or insurance claims data
• Strong written and verbal communication skills
• Strong programming skills (Python, R, MATLAB, SQL, GIS preferred)
• Highly motivated, detail oriented, and team player

BHSI Offers

• A company with a truly unique opportunity and value proposition in the marketplace.
• A competitive package and exciting growth opportunities for career-oriented teammates
• 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