Senior Actuary; FSA - Products, Studies

Senior Actuary (FSA) - Life Products, Experience Studies

life insurance, parental leave, paid time off, 401(k)

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 (FSA) to join our Experience Studies team within the Consumer Markets Division, focusing on Life Products. This role will be hybrid on-site (4 days a week in office) at either our Newport Beach, CA or Omaha, NE office. Comprehensive relocation benefits are available.

• Provide support and lead the preparation of experience studies for assumption setting. Identify opportunities to improve existing data processes using Python, R and Snowflake.
• Lead the preparation of life policyholder behavior experience studies for assumption setting and present findings to working groups and senior management committees.
• Introduce new tools and analysis techniques, such as predictive analytics, artificial intelligence, and machine learning, into the development of experience studies.
• Offer technical expertise while considering modeling capabilities and potential downstream impacts, striving for a balance between addressing business complexities and simplifying the implementation process.
• Provide expertise and insights into the Product Strategy, especially as the company explores innovative new product types and market opportunities, recognizing the sensitivity of assumptions and their potential impact on financial statements.
• Build strong relationships with key stakeholders to ensure assumption approval and successful implementation.
• Direct the creation of dashboards at the right granularity to report key insights and emerging trends to senior management. Implement process improvements, automation, and efficiencies where applicable.
• Collaborate with external consultants to gather industry data for validating assumptions and benchmarking against competitors.
• Foster collaboration, manage expectations, and effectively communicate project updates, milestones, and risks.
• Provide leadership, guidance, and effective coaching to junior staff.

• FSA Designation
• Bachelor's in actuarial science, computer science, data science, mathematics or related fields
• 4+ years' actuarial experience
• Excited to work in a role that involves predictive modeling, machine learning and AI
• Self-starter with ability to develop solutions by collaborating with multiple business partners
• Ability to work independently and collaboratively as part of a team, and to manage long‑term projects
• Detail‑oriented with excellent organizational, communication, and interpersonal skills
• 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.

• Working knowledge of life insurance products and/or experience studies
• Experience with statistical computing software (e.g. R, Python, SQL)
• Experience working with large data sets (e.g., Alteryx, Snowflake) and data visualization software (e.g. Tableau)
• Track record of collaborative development and delivery of analytical applications

People come first here. We're committed to a diverse, equitable and inclusive workforce.

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 are eligible for…