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GENERAL DESCRIPTION OF ROLE:
Assist onshore catastrophe management managers in assessing catastrophe risks, carrying out
sensitivity studies, and providing added analytics to clients.
JOB RESPONSIBILITIES:
As part of the Catastrophe Management team, Run catastrophe modeling
software for client and prospect portfolio risk analyses.
Prepare property insurance policy data for catastrophe risk analysis using
Microsoft Access, SQL Query Analyzer and other data conversion tools.
Use proprietary software to design and manage catastrophe reinsurance
programs.
Respond to brokers, clients, and reinsurers on issues and questions relating
to risk analysis for natural and manmade catastrophes.
Provide real-time loss estimates of actual catastrophic events around the
world.
Prepare and send catastrophe risk assessment data to reinsurers and
participate in reinsurance market calls.
Assist clients in the understanding of catastrophe risks, sensitivity studies,
and added analytics based on catastrophe model results.
SKILLS/COMPETENCIES REQUIRED:
Practical experience with data analysis/clean up/validation whether in a work
or academic setting.
Proven analytical skills. Prior analytical and problem-solving experience from
academic and/or business environment.
Strong organizational skills including the ability to manage multiple
assignments, work well with minimal supervision and meet deadlines in a
timely manner.
Ability to think strategically and analytically as well as work independently and
take initiative.
Potential for temporary or permanent relocation to other Reinsurance
Solutions offices.
Relevant work/ internship experience.
Confident and self-driven individual; has Can-Do attitude; Ability to work in
teams and do multi-tasking; ability to maintain good interpersonal
relationships.
Excellent interpersonal skills and ability to collaborate well with others
externally and internally. Well-rounded communication skills and ability to
interact with variety of audiences.
Working knowledge of Microsoft products, with intermediate proficiency in
Access, and working knowledge of Excel strongly preferred. SQL experience
a definite plus.
Date Posted: 16/07/2024
Job ID: 84955147