Sr. Actuarial Analyst

Palomar•La Jolla, CA

About The Position

Palomar is seeking a driven and curious Senior Actuarial Analyst to join its growing actuarial team. Reporting to an actuarial leader, the role contributes to actuarial decisions in one or more areas while building leadership skills through mentoring, project ownership, and cross-functional collaboration. The analyst serves as a bridge between actuarial and functions such as Claims, Underwriting, Product and Programs, Finance, Reinsurance, Data Engineering, and Compliance. The role performs actuarial analyses, develops and maintains models and methodologies, and improves efficiency through automation. It also supports program evaluation, portfolio analysis, performance monitoring, profitability and trend analysis, and business and product decisions. The analyst translates reporting and analytical needs into data requests, partners with Data Engineering and Program Managers on data sources and quality, and helps align data definitions across the organization. The position includes mentoring junior analysts and supporting the actuarial student program. The position is listed for La Jolla, California; Edina, Minnesota; or remote, with the requirement to work on-site two to three times per week. The stated U.S.-based pay range is $114,500–$172,500, with bonus potential and participation in a long-term incentive program.

Requirements

5–8 years of experience in an actuarial role.
Strong understanding of actuarial methods and analytics in the property and casualty (P&C) industry, with sound judgment in one or more areas of actuarial work.
Experience and aptitude in one or more of pricing, reserving, assumed reinsurance, capital modeling, or claims analytics.
Propensity to use AI and automation to build tools and improve efficiency.
Proficiency in SQL and Microsoft Office Suite.
At least three actuarial exams passed.
Strong communication and organizational skills, including the ability to present findings and recommendations effectively to cross-functional stakeholders.
Demonstrated interest in mentoring and contributing to process improvement and efficiency initiatives.
Able to work on-site two to three times per week.

Nice To Haves

Familiarity with Python, VBA, and/or R.
ACAS or FCAS designation preferred.

Responsibilities

Perform actuarial analyses for assigned business areas, apply sound methods and judgment, and explain results and drivers to stakeholders.
Develop, enhance, and maintain actuarial models, tools, and methodologies to support business decisions, emphasizing automation and efficiency.
Identify manual, repetitive, or error-prone processes and build and maintain automated workflows and reports using SQL, Python, VBA, or R.
Translate reporting, regulatory, and analytical needs into clear data requests for Data Engineering and Program Managers; act as a liaison on data sources, definitions, and quality.
Work with stakeholders to align data definitions and reporting so results are consistent across actuarial and other reporting.
Collaborate with Underwriting, Finance, Claims, and Reinsurance on program evaluation, new program onboarding, and portfolio analyses, providing insights and recommendations.
Use AI-assisted tooling and automation to improve actuarial models, analytics, and turnaround time, and help other teams strengthen analytics and performance monitoring.
Mentor junior analysts by sharing knowledge, reviewing work, and supporting the actuarial student program.
Support monitoring of portfolio performance, profitability, and trends to inform business decisions and product strategies.