As the Lead Actuary, you will lead pricing, analytics, and portfolio understanding for loss sensitive insurance programs. This role will design and maintain actuarial frameworks for programs featuring significant risk retention.
Develop and own experience rating and loss-sensitive pricing models for complex commercial programs.
Produce loss picks, expected loss ratios, and risk loads across multi-year structures.
Evaluate program features such as SIR layers, corridor terms, aggregate limits, profit-share, commutation triggers, and reinstatements.
Document pricing assumptions and ensure adherence to internal pricing standards.
Build monitoring dashboards for program performance vs. plan (loss emergence, frequency/severity trends, development, burn costs).
Conduct quarterly/annual rate adequacy and profitability reviews for loss-sensitive portfolios. Identify drivers of deviation (claims handling, attachment points, industry shifts, social inflation, etc.) and recommend corrective actions.
Serve as actuarial lead in underwriting committee and deal review meetings.
Translate technical outputs into clear business recommendations.
Provide mentorship/training to analysts and underwriters on loss-sensitive mechanics
7–10 years of actuarial experience in P&C insurance.
Practical, hands-on pricing experience in loss sensitive programs (umbrella/excess GL, excess auto liability, property and others).
Cat modeling experience, either through vendor models (e.g., RMS, AIR, CoreLogic) or advanced internal stochastic / scenario-based tail modeling.
ACAS/FCAS (or international equivalent). Near-Fellow with strong relevant experience will definitely be considered.
Advanced analytical skills in Excel and actuarial tooling; ability to build transparent, auditable models.
Proven ability to communicate complex risk concepts clearly to underwriting and leadership
Direct experience pricing loss sensitive programs.
Experience with casualty catastrophe / clash / accumulation modeling.
Proficiency in one or more of: Python, R, SQL, VBA, or modern actuarial platforms.