Actuarial Analyst (Reserving)

Palomar•San Diego, CA

3h•$80,000 - $142,000•Hybrid

About The Position

We are seeking a driven, curious, and adaptable Actuarial Analyst to join our reserving team. The strongest candidates are problem solvers who enjoy working with data, pick up new methods quickly, and shift their approach to whatever best solves the problem rather than anchoring on a single tool. You will work closely with a small, collaborative team and grow across reserving, loss analytics, and claims integration.

Requirements

Bachelor's degree in mathematics, statistics, or actuarial science preferred
Actuarial exams underway, typically about three passed, with a desire to work toward the ACAS and/or FCAS credential
Typically about three years of actuarial or similar analytical experience, with strong potential weighted alongside
Curiosity, adaptability, and a bias to learn new tools and methods
Experience in the finance or insurance industries is a plus
Demonstrable track record of working autonomously and driving progress.
Be intellectually curious, think creatively, and pragmatic.

Nice To Haves

Build strong relationships through transparency, trust, and respect for each other.
Work in an agile environment, with a resilient mindset to find creative solutions to challenges.
Collaborate and celebrate diverse perspectives, promoting inclusivity and equality.
Do the right thing with strong conviction and integrity.
Be bold and innovative to help make an impact.
If you thrive in a dynamic environment, and like working with happy, authentic, talented people, you'll enjoy a career with Palomar!

Responsibilities

Support the quarterly company reserve analysis in Arius, including data preparation, analysis, and diagnostics.
Contribute to IBNR estimation and segmentation by coverage and tail length.
Help surface loss and claims signal between the quarterly cycles.
Provide reinsurance analytical support.
Nurture feedback loop between Reserving and Pricing functions.
Support claims integration and data quality and internal data asset development.
Take on research, process improvement, and new analysis and tooling as needs shift.