Sr. Actuarial Analyst (Statistical Reporting)

Palomar•San Diego, CA

2d•$113,000 - $173,000•Onsite

About The Position

We are seeking a driven and curious Senior Actuarial Analyst with a strong foundation across pricing, reserving, and data/tooling to join our growing actuarial team. Reporting to a VP, Actuarial, this role contributes directly to actuarial decisions across multiple business lines while developing leadership skills through mentoring, project support, and cross-functional collaboration. A key part of this role is serving as a bridge between actuarial and adjacent functions (i.e. Statistical Reporting and Other Data Calls, Claims, Compliance, Underwriting, Product and Programs, etc.) ensuring actuarial support is provided on cross-functional initiatives, such as the development of a Data Warehouse. The Data Warehouse will be used to prepare statistical reporting, data calls, and other regulatory requirements that are at a policy, coverage, and transaction level. The ideal candidate combines strong communication skills with technical expertise and experience organizing and analyzing data for actuarial as well as other cross-functional analyses across an insurance company.

Requirements

5–8 years of experience in an actuarial role
Comprehensive understanding of data analytics in the P&C industry, specifically statistical reporting and/or actuarial pricing models that use policy level data.
Propensity to leverage AI for tooling and model builds, with proficiency in SQL and Microsoft Office Suite; familiarity with coding languages such as Python, VBA, and/or R.
A minimum of 3 actuarial exams passed.
Strong communication and organizational skills with ability to present findings and recommendations effectively to cross-functional stakeholders.
Demonstrated interest in mentoring and contributing to process improvement initiatives.

Nice To Haves

ACAS or FCAS preferred.

Responsibilities

Translate statistical reporting, regulatory data calls, and other regulatory filing requirements into a data request that can be shared with the Data Engineering team and Program Managers.
Work with Program Managers to identify programs that will require enhancements to data provided to meet the data request requirements, and act as an ongoing liaison to answer questions and support Program Managers.
Support Data Engineering by answering questions about potential Data Warehouse architecture and sources of data.
Work with various stakeholders across the organization to seek alignment on how data is reported to ensure consistency across actuarial reserving, actuarial pricing, statistical reporting, data calls, Annual Statement, and other reporting.
Once the Data Warehouse is built, prepare and maintain reports for regulators, Underwriting, Product, Programs, Claims, and other internal stakeholders.
Support new program onboarding into the Data Warehouse and reporting.
Leverage knowledge of new Data Warehouse to enhance actuarial pricing models, tools, and methodologies to support underwriting decisions.
Leverage knowledge of new Data Warehouse to support other teams across the organization enhance their analytic and performance monitoring capabilities.
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.