Connor Gray

Connor Gray

Catastrophe Risk Analyst @ Gallagher

About Connor Gray

Connor Gray is a Catastrophe Risk Analyst at Gallagher Re in London, specializing in catastrophe risk modeling and disaster management.

Company

Connor Gray is currently working at Gallagher Re in London, England, as a Catastrophe Risk Analyst. Gallagher Re is a prominent reinsurance brokerage and risk management firm known for its expertise in helping organizations manage the financial impact of catastrophic events.

Title

As a Catastrophe Risk Analyst at Gallagher Re, Connor Gray specializes in analyzing and mitigating risks associated with catastrophic events. He focuses on developing models that predict the impact of natural disasters, thereby helping clients prepare and manage potential hazards.

Education and Expertise

Connor Gray achieved an MSc in Geophysical Hazards from UCL, where he studied from 2020 to 2021. Prior to this, he completed a BSc in International Disaster Management and Humanitarian Response at The University of Manchester, studying from 2017 to 2020. Connor's educational background provides a robust foundation in both theoretical knowledge and practical skills in disaster management.

Background

Connor Gray has accumulated diverse experience in disaster management and risk analysis. He has worked as a Research Assistant at Insecurity Insight (2020-2021), an Intern in Disaster Management at the American Red Cross in Greater New York City Area (2019), and a Research Intern at Save the Children International (2018-2019). These roles have equipped him with valuable skills and insights into the various aspects of disaster risk reduction.

Achievements

Connor Gray has made notable contributions to the field of catastrophe risk analysis. He developed a new catastrophe risk model that improved prediction accuracy by 15%. He presented his research findings on catastrophe risk modeling at the 2022 International Conference on Disaster Risk Reduction. His paper on the impact of climate change on natural disaster frequency was published in the Journal of Geophysical Research. Connor received the Gallagher Re Innovation Award in 2022 for his contributions to catastrophe model development. He also volunteers as a mentor for students pursuing careers in disaster management through the UCL Alumni Network.

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