Global Reserving Actuary Director

Everest; Greater London; On-site; GBP 112,000 - 153,000; Full time

Benefits offered by this job

Health insurance

Wellness program

Life & disability insurance

401k match

Retirement savings plan

Paid holidays & PTO

Job summary

Everest, a global risk-management leader, seeks a Director, Global Reserving Actuary to lead reserve analyses across Insurance and Reinsurance portfolios. You will develop reserve indications, advise senior partners, and shape governance globally.

You will mentor junior staff, collaborate with underwriting, claims, finance, and regulators, and contribute to capital modeling and reporting. Strong ACAS required; FCAS preferred; SQL/Python proficiency essential.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 5–10 years of P&C actuarial experience with significant reserving experience.
• ACAS required; FCAS preferred.
• Strong knowledge of reserving methodologies and actuarial standards.
• Experience communicating analyses to senior stakeholders.
• Proficiency with actuarial software, SQL, Python, or related tools.

Responsibilities

• Lead quarterly reserve reviews and reserve indication analyses for assigned portfolios.
• Evaluate reserve adequacy through historical development patterns and trends.
• Present reserve recommendations to reserving leadership.
• Provide actionable insights on adverse development, reserve volatility and exposures.
• Support quarterly financial close and external reporting.

Skills

ACAS

FCAS preferred

SQL

Python

Actuarial communication

Leadership

Education

Bachelor's degree in a quantitative field

Tools

Actuarial software

SQL

Python

Job description

Everest, a global risk-management leader, seeks a Director, Global Reserving Actuary to lead reserve analyses across Insurance and Reinsurance portfolios. You will develop reserve indications, advise senior partners, and shape governance globally.

You will mentor junior staff, collaborate with underwriting, claims, finance, and regulators, and contribute to capital modeling and reporting. Strong ACAS required; FCAS preferred; SQL/Python proficiency essential.