Quick Summary
Develop and maintain homeowners pricing models using actuarial methods and predictive analytics. Evaluate rate adequacy and recommend rate changes to ensure profitability and competitiveness.
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.).
At Slide, you will not only be part of a successful team, but you will also be a part of our Slide Vibe/award winning culture where collaboration and innovation are expected, recognized and awarded!
Responsibilities
~1 min read- →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.
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.
What We Offer
~1 min read
Listing Details
- Posted
- February 10, 2026
- First seen
- March 26, 2026
- Last seen
- April 18, 2026
Posting Health
- Days active
- 22
- Repost count
- 0
- Trust Level
- 39%
- Scored at
- April 18, 2026
Signal breakdown
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