Global Head of Catastrophe Risk Analytics

Key Responsibilities

• 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.

Qualifications

• 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.
• Strong leadership and people management track record, including in diverse, global, matrixed organizations.
• Deep expertise in utilization of vendor catastrophe models (RMS, AIR) for development of risk analytics.
• Excellent interpersonal and communication skills; able to translate complex analytics into actionable business insights.
• Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools.
• Up-to-date knowledge of regulatory environments affecting catastrophe risk.
• Strong programming and data science skills (e.g., Python, R, SQL).