FM Research Scientist - Weather and Climate Risks / Machine Learning & AI

Embark on a Cutting-Edge Journey in Climate Risk Research with FM!
Location: Norwood, MA

Are you ready to dive into the thrilling world of climate science and make a tangible impact on global resilience? Join our world-class research team, where exciting technical challenges await as we tackle the pressing issues of weather and climate risks.

About FM:

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world’s largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.

As a pivotal member of our research team, you will spearhead groundbreaking studies on extreme weather catastrophes. Your work will initially focus on modeling the evolving risks and impacts of phenomena such as tropical cyclones, severe convective storms, and extreme precipitation. Additionally, you'll have the chance to support regional research initiatives and contribute to our global Climate Risk & Resilience activities.

Key Responsibilities:

• Identify, plan, and conduct innovative research projects focused on extreme weather events.
• Develop and implement novel techniques and models to enhance risk analytics and loss prevention.
• Collaborate with a global team of scientists across the U.S., Singapore, and Luxembourg.
• Contribute to the development of hazard models assessing flood, wind, storms, and wildfire risks.

Minimum Education and experience:

• MS in meteorology, data science or an adjacent field, with practical experience in the modelling of extreme weather, plus more than 3 years of professional experience with a good working knowledge of statistical/ dynamical downscaling techniques.

or

• PhD in meteorology, data science or an adjacent field with a good working knowledge of statistical/ dynamical downscaling techniques.

Required Skills and Competency Areas

• Project and Research Management: Proven ability to manage projects and conduct research effectively.
• Data Handling: Proficient in collecting, processing, and analyzing large datasets.
• Advanced Statistical Analysis: Proficiency in statistical methods, including extreme value analysis and probabilistic modeling.
• Data Science Expertise: Strong background in data science techniques, including machine learning (ML), neural networks and artificial intelligence (AI) methods with proven experience in developing machine learning models applied to geospatial or climate data.
• Climate Science Knowledge: Understanding of meteorological processes, particularly related to tropical cyclones, severe convective storms, synoptic-scale systems, and/ or extreme rainfall.
• Demonstrated experience using or developing global and/or regional climate models, analyzing CMIP6 global climate model output, and combining large atmospheric datasets in various formats (including GeoTIFF, NetCDF, HDF, and GRIB).
• Programming Skills: Experience writing shell scripts and using APIs for process automation, excellent programming skills in at least two programming languages including Python, R, Fortran, and/or Matlab.
• Communication Skills: Excellent oral and written communication and presentation skills.
• Teamwork: Ability to self-start and thrive within a high-performance team environment.

Desired Skills and Competency Areas

• Education: PhD in meteorology or atmospheric/ climate science with a solid research record.
• Collaborative development and High-Performance Computing: Proficiency in utilizing Linux/Unix clusters for high performance computing, along with experience in DevOps practices and cloud platforms such as AWS and Azure.
• Effectiveness in communicating highly technical and scientific insights to non-technical audiences.
• GIS Software: Competence in using GIS software and processing tools, including ArcGIS, QGIS, GDAL and Google Earth Engine.
• Stochastic Modeling: Demonstrated expertise in developing and applying stochastic models to simulate natural events.

What We Offer:

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and career growth.
• A dynamic, inclusive work environment that fosters innovation.
• The chance to work on impactful projects shaping the future of climate risk resilience.
  
  

The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM’s comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. 

FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

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