Quick Summary
Develop and use engineering computer codes such as wind/storm surge/wave hazard models and engineering fragility models for wind loading effects.
Bachelor’s degree or higher in Civil/Structural Engineering, Atmospheric Science, Meteorology, or related field. Advanced degree preferred. At least 8 years of relevant experience,
ARA’s IntraRisk Group is seeking a senior scientist to work with a multidisciplinary team to develop and implement engineering computer models for high wind hazards, structural response, and loss estimation. The successful candidate for this position will have a strong background in hurricane, flood, and/or tornado modeling and interest in using such models for insured loss estimation.
The IntraRisk Group is based in Raleigh, NC. Remote work may be considered for the right candidate.
Responsibilities
~1 min read- →Develop and use engineering computer codes such as wind/storm surge/wave hazard models and engineering fragility models for wind loading effects.
- →Process and interpret property insurance exposure data for input to HurLoss, ARA’s hurricane catastrophe loss model.
- →Work with end users to understand how HurLoss can be used to support their catastrophe modeling needs.
- →Apply probability and statistics in engineering.
- →Lead multiple projects and interact with current and prospective clients.
- →Lead marketing/business development activities in one or more client areas.
- →Document work and write technical reports.
- Comprehensive understanding and use of building codes/analysis methods.
- Strong problem-solving, oral, and written communication skills.
- Ability to clearly communicate with collaborators and ask for assistance when needed.
- Attention to detail and desire to learn from mentors.
- Strong self-starter with the ability to pick up new technologies quickly.
- Strong technical writing skills.
- Agility, poise, focus, and communication skills are a must.
Requirements
~1 min read- Bachelor’s degree or higher in Civil/Structural Engineering, Atmospheric Science, Meteorology, or related field. Advanced degree preferred.
- At least 8 years of relevant experience, including at least 2 years of experience in catastrophe modeling and property insurance risk modeling. Advanced degree may be considered in partial fulfillment of the experience requirement.
- At least one course in computer programming and relevant experience in developing computer codes (e.g., FORTRAN, C, C++, and/or Python) for natural hazard risk assessment.
- Candidates selected may be subject to a government security investigation and must meet the eligibility requirements for access to classified information.
ARA is an employee-owned scientific and engineering company founded in Albuquerque, NM in 1979. ARA is known for providing technically superior solutions to complex and challenging problems in the physical sciences. We employ over 2,200 professionals and continue to grow. ARA offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software, and simulation, systems analysis, environmental technologies, and testing and measurement.
The IntraRisk Group is an internationally recognized leader in the modeling and simulation of extreme natural events such as hurricanes, tornadoes, straight winds, and storm surge. We provide high wind risk assessment services for government agencies as well as the property insurance, nuclear power, offshore energy, and engineering design industries. To find out more about the IntraRisk Group, visit our website at: Natural Disaster Risk Assessment & Consulting - ARA.
Our culture supports career advancement and rewards innovation, self-motivation, and technical excellence. We offer a highly competitive compensation and benefits package, including employee stock ownership, performance bonuses, and professional development.
Location & Eligibility
Listing Details
- Posted
- July 30, 2026
- First seen
- July 30, 2026
- Last seen
- July 30, 2026
Posting Health
- Days active
- -1
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- July 30, 2026
Signal breakdown
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