Jay Guin

Dr. Jay Guin is an executive vice president and chief research officer for Verisk’s extreme event solutions team, where he’s responsible for the strategic direction and management of the research and modeling group. Under his leadership, the group has developed a global suite of models for assessing and managing extreme risk from both natural and man-made perils, continually pushing the boundaries of the state-of-the-science. Jayanta also provides strategic input into the team’s future direction in conventional and emerging areas of growth. He oversees two emerging areas of Verisk’s business, casualty and cyber risks. Jayanta has 25 years of experience in probabilistic risk analysis for natural catastrophes worldwide. His previous roles at the company include senior vice president and vice president of research and modeling. In those capacities he grew and developed the research team, managed model development, liaised with product development, established external partnerships, and laid the foundations for Verisk’s next generation of catastrophe models. He’s well recognized in the insurance industry for his expertise in the financial risk posed by natural perils. His expertise includes a wide range of natural and man-made phenomenon across the risk spectrum that encompasses underwriting, financial modeling, and aggregation risk. He holds a PhD and an MS in civil engineering from the State University of New York, Buffalo, with a specialization in dynamic soil-structure interaction and computational mechanics. He also holds a BS in civil engineering from Jadavpur University in India.

4/19/2021 - 12 min read

Using AIR’s New Modeling Framework to Understand Climate Change Impacts

New model framework coming from AIR can be used to evaluate climate change risk on short- and long-term time horizons.

6/22/2020 - 12 min read

Climate Change: A Reckoning and a New Approach to Modeling Risk

This is the first article in a yearlong series about AIR’s motivation for and approach to modeling and quantifying climate change risk.

4/18/2018 - 12 min read

Modeling Fundamentals: Understanding Uncertainty

In this article, Dr. Jayanta Guin, AIR Chief Research Officer, introduces some key concepts and answers the fundamental questions: What is uncertainty, where does it come from, and how is it treated in models?

3/16/2017 - 8 min read

Modeling Fundamentals: The Dynamic Nature of Science in Catastrophe Modeling

This article is an update of an article originally published in 2009 in which Dr. Guin discusses why it is so important for scientists and engineers at AIR to determine whether competing approaches are credible and how much weight to assign to emerging science before a consensus is reached.