Global Pricing Actuary Leader - AI-Driven Analytics

Everest; New Jersey; On-site; USD 344,000 - 400,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid holidays

Wellness program

Job summary

Everest is seeking a visionary Chief Pricing Actuary for Global Wholesale and Specialty to lead pricing strategy, analytics, and governance across the unit. Based in Warren, NJ, this executive will partner with Underwriting, Finance and Technology to modernize pricing capabilities and enable faster, smarter underwriting decisions.

The role requires FCAS and at least 15 years of actuarial pricing leadership, with a track record of building analytics-driven organizations and applying AI/ML to

Qualifications

• FCAS required and 15+ years pricing leadership.
• Bachelor’s degree in Actuarial Science or related field.
• Experience leading global pricing and analytics teams.
• Knowledge of AI/ML in pricing advantageous.

Responsibilities

• Define global pricing strategy aligned with profitability and return-on-capital objectives.
• Lead pricing analytics and governance across Global Wholesale and Specialty.
• Drive AI, automation, and advanced analytics within pricing workflows.
• Collaborate with Underwriting, Finance, Risk and Technology to enable data-driven decisions.

Skills

Executive leadership

Strategic thinking

Cross-functional collaboration

Strong communication

Education

FCAS required

15+ years actuarial pricing leadership

Bachelor’s degree in Actuarial Science or related field

Tools

Python

SQL

R

Cloud analytics

Job description

Everest is seeking a visionary Chief Pricing Actuary for Global Wholesale and Specialty to lead pricing strategy, analytics, and governance across the unit. Based in Warren, NJ, this executive will partner with Underwriting, Finance and Technology to modernize pricing capabilities and enable faster, smarter underwriting decisions.

The role requires FCAS and at least 15 years of actuarial pricing leadership, with a track record of building analytics-driven organizations and applying AI/ML to