Senior Actuary; FSA - Profitability Management
Newport Beach, Orange County, California, 92659, USA
Listed on 2026-06-17
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Finance & Banking
Risk Manager/Analyst, Financial Consultant
Job Description
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 it’s 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 Senior Actuary to join our Life Profitability Management 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 a Senior Actuary, you’ll play a key role in Pacific Life’s growth and long‑term success through the active management of the inforce life insurance block, including the management of non‑guaranteed elements, and building retention and remediation strategies around different business segments.
Responsibilities- Annual plan projections and quarterly re‑forecasting for our life portfolio.
- Analyze drivers of plan vs. actual results, providing clear explanations and actionable insights to the Financial Planning & Analysis (FP&A) team and senior management.
- Monitor and interpret in‑force performance metrics to identify profitability trends and any needed adjustments.
- Assess the impact of non‑guaranteed elements (e.g., credited rates) on earnings, giving management early line‑of‑sight into emerging opportunities or risks.
- Oversee credited rate and index rate setting on the life business, using data driven analysis.
- Partner with Investments, Hedging and Finance to make decisions on rates and spreads and communicate results to management.
- Collaborate with the Enterprise Modeling team to enhance our Prophet models (including coding updates and user acceptance testing).
- Become an SME on the modeling of the entire life suite of products. Learn to apply rules of thumb and other estimations for non‑modeled items and sensitivity analysis.
- Work closely with Finance, FP&A, Asset‑Liability Management (ALM), Reinsurance, and other stakeholders on enterprise initiatives involving the annuity in‑force block.
- Clearly communicate complex modeling results and recommendations to diverse audiences, from new team members to executive leadership, translating technical findings into actionable business terms.
- Identify efficiencies and modernization opportunities in existing processes and lead implementation efforts.
- Develop and utilize AI to drive insights into the business.
- Serve as lead reviewer and coach for junior staff members on the team.
- Bachelor’s degree in Actuarial Science, Mathematics, Computer Science, Data Science, other related fields.
- FSA designation required.
- Experience working with actuarial modeling software (Prophet preferred).
- Experience working with large data sets (e.g., Alteryx, Snowflake) and data visualization software (e.g., Tableau).
- Ability to work independently and collaboratively as part of a team, and to manage long‑term projects.
- Detail‑oriented with excellent organizational and interpersonal skills.
- Excellent analytical, problem‑solving, and decision‑making skills.
- 6+ years’ actuarial experience preferred.
- Experience with life insurance products and features.
- Knowledge of GAAP earnings, specifically LDTI.
- Understanding of different reinsurance agreements and treaties.
- Ability to drive discussion with senior leadership.
Base salary ranges (location specific):
- Newport Beach, CA: $167,
- Omaha, NE: $144,
- Charlotte, NC: $152,
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, qualifications and geographic location. Also, most employees…
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