AVP – Actuarial
| Company | Everest |
|---|---|
| Location | Boston, MA, USA, Middlesex, NJ, USA, Hartford, CT, USA, New York, NY, USA, Atlanta, GA, USA |
| Salary | $175000 – $225000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Expert or higher |
Requirements
- ACAS or FCAS with 10+ years of actuarial pricing and management experience, with a focus on Commercial Property pricing and product management
- Strong proficiency in actuarial pricing tools and software, data analytics, and modeling techniques
- Advanced knowledge of catastrophe risk modeling and pricing (e.g., RMS, AIR, or similar platforms)
- Exceptional communication skills with the ability to present complex actuarial concepts to non-technical stakeholders
- Ability to work in a fast-paced, dynamic environment, managing multiple priorities and deadlines
- Proficient at working with large datasets and database software (e.g. SQL)
Responsibilities
- Develop the next generation pricing plan for a spectrum of Everest Insurance Commercial Property offerings, based on geography (e.g. US, Canada, Europe, Asia) and buyer’s behavior (e.g. large account, middle market)
- Provide analytical solutions and insights to internal partners (e.g. Underwriting) for optimal pricing and underwriting outcomes
- Lead the review and analysis of rate change and profitability
- Improve speed to market and efficiency of our pricing and analytical solutions through strong partnership with internal and external technology providers (e.g. insurtech)
- Support the annual reinsurance purchase and planning processes
- Manage a team of two to three actuaries and analysts
- Collaborate with colleagues across functions (e.g. Reinsurance Pricing, Cat Modeling, Reserving) to promote shared knowledge
- Advise on key pricing and portfolio management decisions, and influence business strategy based on data-driven insights
- Provide other actuarial support as needed
Preferred Qualifications
- Advanced degree in a quantitative discipline preferred, including but not limited to Actuarial Science, Mathematics, Statistics, or Computer Science
- Strategic thinker with excellent problem-solving skills and the ability to translate data-driven insights into actionable business decisions
- Familiarity with R and/or Python to develop advanced statistical models a plus