Verisk’s Extreme Event Solutions Research Department in Boston is seeking a collaborative and experienced atmospheric scientist with strong programming expertise to accelerate the development of next-generation catastrophe models. You’ll work alongside a diverse team of atmospheric scientists, engineers, mathematicians, and computational scientists dedicated to advancing risk modeling for the insurance and reinsurance industries.

About the Role:

Verisk is at the forefront of atmospheric perils modeling, leveraging cutting-edge Machine Learning techniques trained on reanalysis products, global circulation models, and convection-resolving numerical weather prediction models. Our models represent the full range of possible loss-causing damage scenarios consistent with near-present climate conditions.

As part of our team, you will:

• Lead coordination and productization of model development across our Boston and Hyderabad offices.
• Support hiring, mentorship, and growth of the Hyderabad Meteorology Team, fostering an inclusive and collaborative environment.
• Contribute to pioneering research, advancing how tropical cyclones and other atmospheric perils are represented within our Machine Learning-based global modeling framework.
• Develop and maintain robust codebases, ensuring best practices in version control (e.g., Git), code review, and documentation.
• Collaborate with computational scientists to optimize workflows and ensure efficient deployment of atmospheric models at scale.

Qualifications

• Experience with project management and scientific leadership.
• Strong understanding of atmospheric dynamics and processes affecting weather extremes.
• Expertise in dynamic downscaling techniques.
• Advanced programming skills, particularly in Python, with experience in numerical modeling and data analysis.
• Proficiency in version control systems (e.g., Git) and collaborative software development practices.
• Experience with statistical modeling and handling large datasets.
• Excellent written and verbal communication skills, with the ability to convey technical concepts clearly.
• A solutions-oriented mindset with a focus on delivering scalable, high-quality solutions.

Requirements

• A Ph.D. in atmospheric science or a related discipline (e.g., physics, computational sciences, mathematics, or engineering).
• 5+ years of relevant experience in atmospheric research, catastrophe modeling, or related fields.
• Demonstrated ability to develop production-ready code and contribute to collaborative coding environments.

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