FM 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 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.

Exciting and interesting technical challenges await when you join a world-class research team dedicated to reducing the impact of natural hazards. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art engineering and research.

The Climate Risk and Resilience research group at FM is looking for creative, self-motivated individuals for internships. Selected candidates will work alongside a unique group of scientists to protect the value of FM clients' businesses by developing methods to identify hazards, assess risk, and produce loss prevention solutions that are efficient and cost-effective. The internship will be supervised by senior staff in the Climate Risk and Resilience research group and provides an opportunity to engage in solving real-world science and engineering problems in the insurance industry.

As a future flood hazard model intern, you will be involved in conducting flood discharge trend analysis, flood hydrograph generation, and visualizations. Deliverables include flood discharge trends as a function of future climate Shared Socioeconomic Pathways (SSPs) and location, and flood discharge input hydrographs for a global flood hydrodynamic model.

Graduate students (with good academic standing for graduation), who are seeking to expand their research experience beyond academia and bring expertise in the following active research areas:

Hydrology

Climate change

General:

Strong analytical skills and solid knowledge of probability and statistics

Experience with programming languages such as MATLAB, R, Python, FORTRAN

Proficiency in processing large volumes of data

Excellent written and verbal communication skills

Desired based on Research topic:

GIS skills (e.g., ArcGIS, QGIS, GDAL)

Comfortable writing shell scripts and using APIs to automate workflows

Comfortable in Microsoft Windows and Linux environments

Experience in machine learning (would be a plus)

This is an in-office role based in Norwood, MA. Temporary relocation support provided for selected qualified candidate.

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

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