Senior Actuary (FSA) - Life Profitability Management

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

How you’ll help move us forward:

• 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.

The experience you bring:

• 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.

What makes you stand out:

• 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: $167,670 - 204,236

• Omaha, NE: $144,810 - $176,990

• Charlotte, NC: $152,370 - 186,230

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, qualifications and geographic location.