Actuary & Director - Enterprise Assumption Review

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better.

Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own.

We’re actively seeking a talented Actuary & Director – Enterprise Assumption Review to join our Enterprise Actuarial Governance Team. This role is on‑site 4 days per week and work from home 1 day per week in Newport Beach, CA, Omaha, NE, or Charlotte, NC. If you are not currently located near one of our offices, we offer comprehensive relocation assistance.

As an Actuary & Director of Enterprise Assumption Review, you’ll drive Pacific Life, and your career forward by collaborating across the enterprise to review actuarial assumptions, partner with first‑line developers and key stakeholders (including Risk, Pricing, and Valuation), develop challenger models, and strengthen controls and governance. You will report directly to the VP Actuarial & Appointed Actuary.

• A member of the Dedicated Review Group, you will act as the lead or supporting reviewer of enterprise biometric (or policyholder behavior) assumptions, spanning multiple product lines and geographic markets worldwide, reinforcing the first line of defense.
• Identify and highlight areas of inconsistencies for assumption developers. Recognize business implications and ensure that assumptions are well rounded and holistic.
• Maintain comprehensive enterprise‑wide guidance and champion best practices for assumption monitoring, experience studies and assumption development.
• Collaborate with stakeholders in the first‑line development and actuarial communities, and second‑line risk pillars.
• Deliver and support comprehensive peer review reports, detailing effective challenges to the suitability of data selection, analytical methodologies, actuarial judgment, and verifying the analyses.
• Engage in projects aimed at streamlining assumption governance, enhancing efficiency and consistency in processes.
• Support on assumption development tracking, creating a regulated process around assumption impacts and creating PowerPoint slides for assumption updates and approvals.
• Build strong relationships with key stakeholders to enhance assumption monitoring, development, and deployment across various different purposes.
• Support and influence the development and future path of the assumption governance framework.

• 7+ years of actuarial experience with an FSA or equivalent designation
• Expertise in assumption setting and experience study methodologies, industry best practices, and statistical analysis
• Excited to work in a role that involves predictive modeling, machine learning, and AI
• Exhibit courage in identifying and addressing potential issues, providing effective challenge, and asking probing questions
• Excellent analytical, problem‑solving, and decision‑making skills
• Ability to present complex information in a clear and concise manner to various audiences, including senior management
• Bachelor’s degree in actuarial science, mathematics, finance, computer science or related field or equivalent work experience

• Experience with R and Python
• Experience working across different lines of business and products
• Experience with Embedded Value and international reserving practices
• Clear understanding of assumption governance principles

Salary Ranges per

Location:

• Newport Beach, CA: $203,760 - $249,040
• Omaha, NE: $175,950 - $215,050
• Charlotte, NC: $185,220 - $226,380

Base Pay Range:

The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience,…