Wind Risk Engineer – Catastrophe Analytics & Modeling

Berkshire Hathaway Specialty Insurance

Boston (MA)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Health, dental and vision benefits
Disability Insurance
Life Insurance
401(k) with company match
Paid time off

Job summary

Berkshire Hathaway Specialty Insurance (BHSI) is seeking an analytical and technically minded Engineer or Senior Engineer with expertise in wind vulnerability assessment and risk modeling to join our Catastrophe Engineering and Analytics (CAT E&A) team. We conduct catastrophe risk evaluations, develop models, and provide insured loss metrics to inform underwriting decisions.

The successful candidate will work on wind risk evaluation using vendor and internal models, contribute to hurricane wind

Qualifications

  • PhD in Civil or Wind Engineering or related discipline.
  • Strong wind engineering understanding and structures design for wind.
  • Knowledge of probability and statistics; strong programming skills.

Responsibilities

  • Conduct wind vulnerability research for internal catastrophe models.
  • Evaluate global wind risk using vendor and internal models.
  • Explain wind risk modeling to underwriters to inform decisions.
  • Train underwriters on wind risk concepts and results.
  • Incorporate BHSI's risk view into catastrophe modeling tools.
  • Contribute to all aspects of natural catastrophe analytics.

Skills

Wind engineering
Python
Geospatial analytics
Communication skills
Team player

Education

PhD in Civil or Wind Engineering

Tools

R
MATLAB
SQL

Job description

Berkshire Hathaway Specialty Insurance (BHSI) is seeking an analytical and technically minded Engineer or Senior Engineer with expertise in wind vulnerability assessment and risk modeling to join our Catastrophe Engineering and Analytics (CAT E&A) team. We conduct catastrophe risk evaluations, develop models, and provide insured loss metrics to inform underwriting decisions.

The successful candidate will work on wind risk evaluation using vendor and internal models, contribute to hurricane wind

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