Research Scientist – Hydrology
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.
FM Global Research is the driving force behind our property loss-prevention engineering and understanding of the hazards our clients face. FM Global has been the leader in property loss-prevention research for more than 175 years.
As part of our research department, you’ll work alongside other researchers and independently to understand emerging property loss-prevention hazards, quantify real-world scenarios, and develop new ways to protect against today’s property-loss threats. You’ll also work on implementation, evaluation, and development of techniques—including computer models and experiments—and present your findings to make strategic and beneficial advancements in risk mitigation.
As part of our research division, you’ll work alongside a unique group of scientists across engineering, earth, hydrological, and atmospheric sciences to protect the value of FM Global's clients' businesses by developing methods to identify hazards, assess risk, and produce loss prevention solutions that are efficient and cost-effective.
Interested in a career with our Structures and Natural Hazards group? We have an opening for planning and conducting research on flood, and subsequent property losses.
Position requires a PhD degree, and a research record in hydrology or related field. Candidates are expected to have:
- knowledge of catchment-based, lumped, semi-distributed, and distributed hydrologic models; understanding of modeling principles, and model setup, calibration and validation; experience with collecting, processing, and analyzing data, and in developing and implementing new techniques;
- solid background in probability and statistics; proven technical programming experience; and GIS skills.
Applicants must have demonstrated project management abilities and excellent written and verbal communication skills. The job title depends on qualifications and experience.