Actuary

What You'll Be Doing

• Pricing & Rate Indications
• Develop rate indications and pricing analyses (e.g., territory, deductible, and other rating factors).
• Monitor rate adequacy, loss trends, inflation impacts, and emerging experience.
• Build and maintain pricing tools, exhibits, and documentation used for internal decisions and regulatory filings.
• Reserving & Loss Analytics
• Perform quarterly reserve analyses (e.g., triangles, ultimate loss selections, IBNR, diagnostics) for homeowners and related lines.
• Monitor loss emergence, claim severity/frequency trends, and CAT vs non-CAT performance.
• Partner with Claims and Finance to reconcile results, investigate drivers, and improve data quality.
• Portfolio Management & Performance Monitoring
• Build recurring dashboards to monitor portfolio performance and emerging trends.
• Work with AIR and other catastrophe model output to assess exposure concentrations, catastrophe load, and risk-adjusted returns.
• Evaluate reinsurance program impacts and support related reporting and analytics.
• Support scenario analyses, including catastrophe load, trend, rate change, and mix sensitivities.
• Actuarial Process Automation & AI Partnership
• Learn Lilypad's actuarial processes end-to-end and identify opportunities for automation (e.g., gross-to-net loss calculations, reserve workflows).
• Serve as a bridge between the actuarial and AI/engineering teams, translating actuarial logic into requirements that can be built into automated tools.
• Write and maintain Python-based workflows to streamline recurring analyses; collaborate with the AI team on tool development.
• Cross-Functional Support
• Collaborate with Underwriting, Claims, Finance, Data/Engineering, and Leadership on special projects (product changes, underwriting guidelines, new territories/segments, vendor evaluation, etc.).
• Contribute to process improvements, automation, and better controls/documentation.

What You'll Need

• 5-8 years of P&C actuarial experience. ACAS/FCAS credential
• High ownership and self-starter mindset; able to drive work forward with limited structure.
• Strong proficiency in Excel and Python, with the ability to build clean, repeatable analyses.
• Strong analytical and problem-solving skills; able to communicate findings clearly to non-technical stakeholders.
• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related quantitative field

What's Great to Have

• Experience building repeatable analytics (dashboards, automated data pulls, version-controlled workflows).
• Homeowners experience incl: catastrophe exposure management, weather/CAT analytics, inflation/trend work, or rate filing support.
• Experience with reserving methods (e.g., chain ladder/BF/Cape Cod style approaches) and/or pricing indications.
• Knowledge of policy/claims data structures and common insurance KPIs.