Closer to multi-client consulting than an underwriting pricing partner because the work advises brokers and clients across reinsurance programmes rather than one carrier portfolio.
Executive-level P&C reinsurance actuarial role on Marsh’s Global Analytics team, based in New York City with hybrid attendance. You’ll advise brokers and clients, build complex pricing and capital analyses, assess reinsurance structures, and use Python, Databricks, and AI-enabled tools to improve analytical work.
Requirements
Must have
ACAS designation
5–7 years of industry experience
Bachelor's degree in Actuarial Science, Economics, Math, Statistics or related field
Pricing, valuation, and/or capital modeling experience
Strongly preferred
Strong skills in Microsoft Office suite
Visualization skills (Power BI, Tableau, or similar)
Excellent communication skills (verbal and written)
Coding experience in Python, Alteryx, R, VBA, SQL; comfort with modern analytics platforms such as Databricks
Comfortable working in interactive teams with brokers and clients
Ability to lead day-to-day parts of a project and make decisions to keep projects moving forward
Strong problem-solving skills
Nice to have
Reinsurance actuarial, stochastic modeling and/or capital modeling experience
Experience influencing senior management
Diverse background working in various roles and lines of business
Demonstrated use of automation/AI to improve analytical efficiency and consistency
