Cat Pricing Actuary - Pricing Strategy & Analytics

Everest; New York (NY); Híbrido; USD 119.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401k match

Retirement plan

Paid holidays

PTO

Wellness program

Descripción de la vacante

Everest Insurance is seeking an Actuary, Cat Pricing to develop and execute CAT pricing strategies across major perils and geographies. The role emphasizes integrating model outputs into pricing and underwriting decisions within a fast-paced environment.

The team focuses on monitoring CAT accumulation, portfolio risk, and profitability while advancing pricing tools and data quality to support strategic decisions. This hybrid role offers multiple U.S. office options, including NYC and Warren.

Formación

• 5+ years of actuarial experience in property pricing.
• Expertise in catastrophe modeling platforms (e.g., Verisk, Moody's) and CAT risk concepts.
• Proven experience integrating CAT modeling into pricing and portfolio decisions.
• Advanced proficiency in analytics tools (SQL, Python/R preferred).

Responsabilidades

• Develop and execute CAT pricing strategy across key perils and geographies.
• Translate catastrophe model outputs into pricing metrics and underwriting guidance.
• Monitor CAT accumulation and portfolio risk; analyze rate adequacy and profitability.
• Drive enhancements in data, modeling techniques, and pricing tools.

Conocimientos

Actuarial experience

CAT modeling

SQL

Python/R

Herramientas

Verisk

Moody's

Descripción del empleo

Everest Insurance is seeking an Actuary, Cat Pricing to develop and execute CAT pricing strategies across major perils and geographies. The role emphasizes integrating model outputs into pricing and underwriting decisions within a fast-paced environment.

The team focuses on monitoring CAT accumulation, portfolio risk, and profitability while advancing pricing tools and data quality to support strategic decisions. This hybrid role offers multiple U.S. office options, including NYC and Warren.