Senior Lead Research Scientist– Riverine Flood Modeling
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Employer: FM Global |
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Job location: Norwood USA |
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Apply before: Not specified |
Summary
The person in this position will be responsible for planning and conducting research related to flood modeling and study of subsequent property losses.
Work will include preparing reports and presentations describing the results of studies completed or in progress, the relevance of the results for loss prevention and risk management, and the development and implementation of loss prevention and mitigation techniques; and developing plans for strategic research that will lead to measurable, significant improvements in the ability to estimate future property losses.
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Find more information about this jobJob description
FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.
Responsibilities:
The person in this position will be responsible for planning and conducting research related to flood modeling and study of subsequent property losses.
Work will include preparing reports and presentations describing the results of studies completed or in progress, the relevance of the results for loss prevention and risk management, and the development and implementation of loss prevention and mitigation techniques; and developing plans for strategic research that will lead to measurable, significant improvements in the ability to estimate future property losses.
Qualifications:
This position requires a PhD degree and a solid research record in fields related to riverine flood modeling; strong technical programming and modeling experience demonstrating broad understanding of modeling principles, and model setup, calibration and validation; experience with collecting, processing, and analyzing data, and in developing and implementing new techniques.
Desired to have GIS skills, a sound background in statistics and previous experience with high-performance computing. Applicants must have demonstrated project management abilities and excellent written and verbal communication skills.
The job title depends on qualifications and experience.
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