Senior Pricing Actuary

About the role

Quickly drive pricing precision at scale—leveraging leading indicators, CAT modeling, and GenAI-powered automation to strengthen rate adequacy and segmentation across our homeowners portfolio.

Responsibilities

• Build and deploy tools using Generative AI and advanced analytics to automate pricing workflows and improve analytical insight.
• Perform statewide and segmented actuarial pricing indications for homeowners insurance products, ensuring rate adequacy and sound risk segmentation.
• Develop and enhance pricing methodologies by incorporating loss trends, expense assumptions, reinsurance costs, and catastrophe modeling outputs.
• Reconcile actuarial indications with financial performance and business objectives in partnership with actuarial leadership.
• Prepare actuarial support for rate filings, including exhibits, documentation, and responses to regulatory inquiries.
• Partner with insurance product teams to support rate changes, pricing reviews, and state expansion initiatives.
• Pull, clean, and validate data for CAT modeling; run catastrophe models and analyze results to inform ratemaking decisions.
• Collaborate with technology and data teams to improve data quality, automate analyses, and modernize pricing pipelines.
• Monitor regulatory developments, market trends, catastrophe activity, and structural changes that impact pricing strategy.

Requirements

• FCAS or Career ACAS designation.
• 5+ years of actuarial experience in personal lines pricing.
• Demonstrated expertise in actuarial pricing techniques, including indications, trend analysis, and risk segmentation.
• Hands-on experience using SQL and Python (preferred) or R for data analysis and model development.
• Experience independently executing technically rigorous actuarial analyses.
• Proficiency in Excel for advanced modeling and analysis.
• Curiosity and practical experience leveraging Generative AI tools to improve actuarial processes.

Qualifications

• Direct experience with Florida, Texas, and/or California residential property insurance.
• Experience supporting rate filings and responding to DOI inquiries.
• Experience working with large datasets and modern analytics workflows.
• Predictive modeling experience, particularly loss cost modeling.
• Experience in an insurtech or high-growth environment.
• Hands-on experience with Git/GitHub in a collaborative team setting.
• Advanced experience applying Generative AI tools in actuarial or analytics workflows.

Skills

• FCAS or Career ACAS designation.
• SQL and Python (preferred) or R for data analysis and model development.
• Excel for advanced modeling and analysis.
• Generative AI tools for improving actuarial processes.

Benefits

Comprehensive, competitive benefits program including:

• Competitive salary and company equity through RSUs
• 401(k) with company match
• Medical, dental, and vision coverage
• Company-funded HSA contributions
• Life insurance and short-term disability
• Supplemental benefits including long-term disability, critical illness, accident, legal, and pet insurance
• Mental health support and confidential counseling resources
• Flexible PTO and company-observed holidays
• Paid parental leave
• Professional development budgets

Pay

Salary range: $150,000 - $200,000 annually, commensurate with experience.

Schedule

Full-time, remote position.