Actuarial Analyst - San Francisco Tri-State Property and Casualty; Remote U.S

Who We Are

Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we help companies tackle critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

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The San Francisco Tri‑State Property and Casualty practice, comprised of about 50 employees, represents a wide range of expertise, along with abundant opportunities to develop and apply actuarial and complementary skills such as data science and geospatial analysis. We work on some of today's most important insurance problems, including climate resilience and telematics. We consult with insurance carriers, reinsurers, and self‑insureds on loss reserving and pricing and build predictive models and innovative insurance products for traditional and start‑up insurers, as well as support state regulatory rate filings.

Our Actuarial Analysts work closely with diverse project teams to execute analyses and conduct research that informs innovative solutions for our clients' complex challenges. In addition to hands‑on analytical work, Analysts have opportunities to present findings to peers, project managers, and client relationship managers. Project assignments and participation in internal interest groups foster collaboration and contributions across the practice.

In this position, you will play a critical role in the rate analysis and development of rate updates for an insurance program with nationwide impact. Your primary responsibilities will involve extracting, cleaning, and analyzing complex datasets using advanced SQL and Python skills. Strong preference will be given to candidates who can demonstrate the ability to solve real‑world data problems in a professional services environment.

Your analyses will incorporate property, policy, and geographic information to support robust, data‑driven rate recommendations. You'll collaborate with our GIS and catastrophe modeling teams to build and refine predictive models, helping to set fair and accurate premiums. You will also prepare comprehensive exhibits, charts, and interactive visualizations to communicate findings to both technical and non‑technical audiences. The role is deadline‑driven, highly collaborative, and requires creativity and perseverance as you adapt to new challenges, evolving methodologies, and the dynamic nature of property risk.

Typical responsibilities will include:

• Programmatic tasks such as reviewing data in preparation for analysis, checking results for accuracy and consistency (peer review), drafting reports, and maintaining documentation
• Predictive modeling and non‑linear methods using mostly SQL and Python/R to support rate analyses
• Draft written reports and Excel‑based exhibits, and prepare other internal/external correspondence
• Undertake research projects of varying shape and size

• Bachelor's degree or higher, including quantitative coursework in actuarial science, data science, mathematics, statistics, etc.
• A minimum of two actuarial exams, and in pursuit of a credential from the Casualty Actuarial Society
• A minimum of one relevant internship up to four years of professional actuarial experience
• Substantial expertise with MS Excel and Word
• Skilled in Python or R and SQL for data analysis
• United States citizen(s)
• Primary residence in the continental United States
• Ability and willingness to obtain and maintain a United States Government‑issued Public Trust security clearance

• Intellectual curiosity about risk, Milliman, and the practice’s work
• Inspired to…