Hybrid Associate Actuary – Experience Studies, Predictive Modeling

at Pacific Life

• Job title: Associate Actuary – Experience Studies, Predictive Modeling
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: $105,120 - $148,830 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL, Tableau
• Location requirements: Hybrid, Newport Beach, United States

About the role

• Associate Actuary leading experience studies and enhancing predictive analytics capabilities. Collaborating with data scientists and actuarial professionals to drive insights at Pacific Life.

Responsibilities

• Provide support and lead the preparation of experience studies for assumption setting.
• Identify opportunities to improve existing data processes using R, Alteryx, or Snowflake.
• Prepare data and conduct analyses for experience studies.
• Run reports to answer management questions and provide visibility into emerging experience across issued business.
• Collaborate with model owners to understand how assumptions are reflected in the model and document them appropriately.
• Create and maintain Tableau dashboards to monitor actual vs. expected experience for various products and riders.
• Prepare data for participation in external industry studies to validate assumptions and benchmark against competitors.
• Summarize and report key findings.
• Perform peer reviews for various experience studies.
• Monitor and develop tools to track emerging trends that could impact product profitability.
• Implement process improvements, automation, and efficiencies where applicable.
• Provide additional data and summaries in response to ad hoc requests from internal teams related to divisional experience studies, external industry studies, or dashboards.

Requirements

• ASA credential with 4+ years of professional actuarial experience
• Direct experience with statistical computing software (e.g., R, Python, SQL) working with predictive models
• Bachelor’s degree in actuarial science, computer science, data science, mathematics, or a related field
• Enthusiasm for working in a role involving predictive modeling, machine learning, and AI
• Self-starter with the ability to develop solutions in collaboration with multiple business partners
• Ability to work independently and collaboratively as part of a team, and to manage long-term projects
• Strong organizational, time management, and interpersonal skills
• Experience presenting complex information clearly and concisely to various audiences, including senior management

Benefits

• Medical, Dental, Vision, and Wellbeing Reimbursement Account
• Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
• Paid Parental Leave as well as an Adoption Assistance Program
• Competitive 401k savings plan with company match and an additional contribution regardless of participation