Pricing Actuary

What you will be doing:

• Develop and maintain homeowners pricing models using actuarial methods and predictive analytics. 

• Evaluate rate adequacy and recommend rate changes to ensure profitability and competitiveness. 

• Partner with Product, Underwriting, and Data Analytics teams to design and refine rating plans, segmentation, and coverage features. 

• Support the filing of rates, rules, and forms with state regulators, providing actuarial justification and responding to DOI inquiries. 

• Monitor loss experience, trends, and key performance metrics across states and segments. 

• Analyze exposure, loss cost, and premium data to identify emerging risks and pricing opportunities. 

• Perform scenario testing and impact analyses for proposed rate or product changes. 

• Collaborate with Claims and Underwriting to understand loss drivers and emerging perils (e.g., weather, inflation, reinsurance costs). 

• Incorporate external data (e.g., credit, weather, geospatial, property attributes) into pricing tools.  

• Ensure models comply with internal standards and regulatory expectations.  

• Partner with Product Management to design and implement pricing strategies aligned with company goals.  

• Communicate actuarial results and recommendations clearly to non-technical stakeholders, including senior leadership.  

• Support reinsurance, capital, and financial planning functions with pricing and exposure insights. 

• Perform other duties as assigned. 

What you already have:

Education, Experience, and Licensing:

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, or related field. 

• Associate or Fellow of the Casualty Actuarial Society (ACAS or FCAS) required (or near completion). 

• Minimum 4–8 years of actuarial experience, preferably in property & casualty insurance. 

• Prior experience with homeowners or property lines strongly preferred. 

• Experience with predictive modeling, pricing, or regulatory filings. 

Qualifications/Skills and Competencies:

• Proficiency in statistical software and programming tools (e.g., SQL, R, Python, SAS, Emblem, or Radar). 

• Strong Excel and data visualization skills (Power BI, Tableau, etc.). 

• Familiarity with catastrophe models and external data sources (e.g., CoreLogic, Verisk, Hazard Hub) a plus. 

• Strong analytical and problem-solving abilities. 

• Excellent communication and presentation skills. 

• Collaborative mindset and ability to work cross-functionally. 

• Detail-oriented with strong organizational skills. 

• Proven ability to deliver precise and timely pricing analyses and filings. 

• Ability to manage and enhance profitability and growth within the homeowners’ insurance line. 

• Proven ability to manage and enhance profitability and growth within the homeowners’ insurance line. 

• Strong ability to collaborate and communicate effectively with internal and external business partners. 

• Proficient in Microsoft 365 applications such as Teams, SharePoint, Word, Excel, PowerPoint, and Outlook. 

• Desire to live Slide's Core Values.