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Corporate Engineering and Research Jobs and Careers at FM Global

Senior Research Scientist-Atmospheric Science

Norwood, Massachusetts

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You’ll quickly learn that we’re not like other property insurance companies. We’re guided by the belief that most losses can be prevented. So we do everything we can to understand your business needs and reduce your risk.

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Success Profile

What makes a successful Candidate at FM Global? Check out the traits we’re looking for and see if you have the right mix.

  • Client/Customer Focus
  • Decision Quality
  • Collaboration and Teamwork
  • Ensures Accountability
  • Change Agent
  • Communicates Effectively

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Our People

Hear what our employees have to say about working at FM Global


Account manager
employee since 2008

My parents have always instilled in me the concept of working hard, having fun, thinking long term and planning for the future. FM Global is exciting, innovative and dynamic, and with so many professional opportunities here, it's also a company where you can spend your whole career and never get bored. I remember back during one of my initial interviews with FM Global, a manager shared that over 80% of the office staff had been with the company since they graduated college. That kind of longevity is one of the reasons I decided to work at FM Global. I'm proud to work for a company that invests in its employees and trains them to be the best. The willingness to learn is universal, the exposure to knowledge is infinite and the different career paths are endless. The opportunities to think long term don't get much broader.


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  • Retirement

    Your financial goals are important to us, so we offer retirement programs that reflect local policy and custom.

  • Career Development

    Your time at FM Global should be valuable and enriching, with plenty of opportunities for skills development and career growth.

  • Employee
    Incentive Plan

    Eligible employees participate in an incentive plan based on the company achieving its annual financial goals.

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Job ID 2018-7277 Date posted 01/22/2018 Locations Norwood, Massachusetts;

More information about this job:


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.


The person in this position will be responsible for planning and conducting research in atmospheric hazard modeling to evaluate, develop, and implement new techniques and models for tropical/extratropical/severe convective storms, hail, tornadoes, and extreme precipitation that can lead to 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.


The position requires a PhD degree and a solid research record in atmospheric science or related field demonstrating a broad physical understanding of atmospheric processes and experience using and combining large atmospheric data sets in various formats; strong programming and numerical analysis skills. Applicants must have demonstrated project management abilities and excellent written and verbal communication skills.

Previous experience with modeling wind and precipitation from tropical cyclones, analysis of related data, and generation of synthetic event sets is a plus. Desired to have a sound background in statistics and previous experience with high-performance computing.

The job title depends on qualifications and experience.

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