Closer to a live-business pricing partner than a capital strategy role—the deciding factor is direct broker and client advice on reinsurance programs.
VP-level P&C reinsurance actuarial role in San Francisco, serving as an individual-contributor analytics partner to brokers and clients. You’ll develop complex pricing, capital and risk analyses, advise on reinsurance structures, and use Python, Databricks and AI-enabled tools to support commercially actionable solutions.
Requirements
Must have
ACAS credential with 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
Strong skills in Microsoft Office suite
Visualization skills (Power BI, Tableau, or similar)
Coding experience in Python, Alteryx, R, VBA, SQL; comfort with Databricks
Excellent communication skills (verbal and written)
Comfortable working in interactive teams with brokers and clients
Ability to lead day-to-day parts of a project and make decisions
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
