Global Head of Catastrophe Risk Analytics

Starr Insurance

Group Head of Catastrophe Risk Analytics overseeing catastrophe risk analytics strategy at Starr. Collaborating with various teams to optimize risk insights and enhance portfolio management.

Posted 7/8/2026full-timeNew York City • Massachusetts, New York, Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and execute the group-wide catastrophe risk analytics vision and strategy, ensuring alignment with underwriting strategy, corporate risk appetite and regulatory requirements
Collaborate with underwriting, claims, actuarial, finance, and IT functions to deliver robust catastrophe risk insights that inform technical pricing, portfolio optimization, accumulation control, and capital management
Lead group wide efforts to aggregate catastrophe risk, and deliver associated analytics that support development and execution of underwriting strategy
Lead, inspire, and mentor a team of analytics professionals, promoting collaboration, technical excellence, and innovation
Evaluate emerging risks, trends, and technologies in catastrophe modeling and analytics, recommending adoption where appropriate
Oversee the assessment of emerging risks (e.g., climate change, new perils) and evaluate/implement state-of-the-art analytics technology and innovation
Partner with external vendors, data providers, and internal technology partners to develop and deploy optimized Catastrophe modeling workflows and toolset for production of risk analytics

Requirements

What you’ll need

Advanced degree in a relevant field (e.g., Actuarial Science, Statistics, Geophysics, Engineering, Applied Mathematics, or similar)
A minimum of 15 years’ experience in catastrophe risk analytics, with significant exposure to both insurance and reinsurance business models
Demonstrated experience in embedding advanced analytics and automation in catastrophe risk management processes
In-depth understanding of capital modeling, risk appetites, reinsurance structures, and portfolio optimization
Deep expertise in utilization of vendor catastrophe models (RMS, AIR) for development of risk analytics
Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools
Strong programming and data science skills (e.g., Python, R, SQL)

Benefits

Comp & perks

First class training and development opportunities
Inclusive environment for all employees

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Catastrophe Risk AnalyticsAdvanced AnalyticsCapital ModelingStatistical ModelingData GovernanceBig Data PlatformsVisualization ToolsAutomation in Risk ManagementPortfolio OptimizationReinsurance Structures

Soft Skills

LeadershipCollaborationMentoringInnovationCommunication