Senior Actuarial Analyst, Data & Analytics

Palomar Holdings, Inc.; San Diego (CA); On-site; USD 113,000 - 173,000; Full time

Benefits offered by this job

Medical benefits

401k with employer contributions

PTO & holidays

Professional development

Job summary

Palomar Holdings, Inc. in California seeks a Senior Actuarial Analyst to bridge actuarial work with data engineering and regulatory reporting. You will translate data requests, collaborate on data warehouse architecture, and provide insights across pricing, reserving, and reporting functions.

The role emphasizes cross-functional engagement, mentorship of junior staff, and ongoing improvement of analytics capabilities to support underwriting decisions and product strategy.

Qualifications

• 5–8 years of experience in an actuarial role.
• Strong data analytics capabilities and cross-functional collaboration.
• Proficiency in SQL and with programming languages such as Python, VBA, or R.

Responsibilities

• Translate regulatory data calls into data requests for Data Engineering.
• Collaborate with Program Managers to identify data enhancements.
• Support Data Engineering with data source questions for the Data Warehouse.
• Coordinate with stakeholders to ensure consistent data reporting across teams.
• Prepare and maintain reports for regulators and internal stakeholders after the Data Warehouse is built.
• Onboard new programs into the Data Warehouse and reporting.
• Leverage data warehouse knowledge to enhance pricing models and tooling.
• Mentor junior analysts and support the actuarial student program.
• Monitor portfolio performance, profitability, and trends to inform decisions.

Tools

SQL

Python

R

VBA

Microsoft Office

Job description

Palomar Holdings, Inc. in California seeks a Senior Actuarial Analyst to bridge actuarial work with data engineering and regulatory reporting. You will translate data requests, collaborate on data warehouse architecture, and provide insights across pricing, reserving, and reporting functions.

The role emphasizes cross-functional engagement, mentorship of junior staff, and ongoing improvement of analytics capabilities to support underwriting decisions and product strategy.