Overview In this role you will support Zurich's General Liability Pricing within Underwriting, focusing on pricing analysis, tool governance, and cross-team collaboration to achieve financial objectives. You will work with actuarial, IT, and product teams to refine rates, rating plans, and monitoring frameworks. You'll lead pricing tool support and contribute to rate indications and filings where applicable. This is a hands-on role in a collaborative, data-driven environment that shapes liability pricing at scale.
Compensation / Benefits- Hybrid work options
- Competitive pay
- Comprehensive benefits for employees and families
- Short-term incentive bonus eligibility
- Total Rewards program
- Equal Opportunity Employer
Responsibilities- Conduct detailed pricing analyses and develop rates, rating plans, and portfolio strategies
- Provide input to actuarial, statistical, and IT functions for pricing tools across platforms
- Lead support for Pricing Tools and monitoring, including predictive models awareness
- Develop or maintain governance and monitoring frameworks
- Support Virtuous Circle meetings across the organization when relevant
- Assist with rate filing support, including indications and pricing evaluations
- Foster strong communication and collaboration within and between teams
Key requirements- Senior Actuarial Analyst path: Zurich Certified Insurance Apprentice with Associates Degree or Bachelors Degree and 5+ years of actuarial experience, or 3+ exams with 3+ years in actuarial area (FCAS or equivalent)
- Associate Actuary path: Bachelors Degree in Mathematics/Statistics or Actuarial Sciences and 5+ years actuarial experience with ACAS or equivalent certification
- Excellent verbal and written communication
- Cross-functional collaboration
- Ability to explain technical results to varied audiences
- Pricing studies (rate indications, trend analyses, parameter analysis)
- Pricing tools development, deployment, and monitoring
- Familiarity with statistics, CS or math concepts, data transformation for business analysis