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

Milliman•San Francisco, CA

4d•$60,300 - $136,160•Remote

About The Position

The San Francisco Tri-State Property and Casualty practice, comprised of about 50 employees, represents a wide range of expertise, 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. We also build predictive models and innovative insurance products for traditional and start-up insurers, as well as the associated state regulatory rate filing support. 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, Actuarial 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. The actuarial skillset is essential to both our traditional work and our growth in emerging markets. We are committed to developing a strong pipeline of actuarial talent and future leaders. Analysts in our practice are expected to pursue a credential with the Casualty Actuarial Society (CAS), and we provide both time and financial support for exam preparation. In this unique 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 your 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. Bring your hands-on experience managing and manipulating large, complex datasets to work in this exciting and unique actuarial role!

Requirements

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.
Primary residence in the continental United States.
Able and willing to obtain and maintain a United States Government-issued Public Trust security clearance.
Intellectual curiosity about the topics of risk, Milliman, and the work of our practice.
Inspired to contribute to the success of a project and succeed as a team.
Enjoys working collaboratively, adept in partnering across time zones while working remotely.
Strong critical thinking, technical, and analytical skills.
Enthusiasm for producing high-quality, professional work with accuracy and integrity.
The ability and willingness to clearly articulate questions and ideas.

Nice To Haves

Experience with cloud-based data analysis tools.
Experience with data visualization tools such as PowerBI, Tableau, or Looker.
Working knowledge of databases.

Responsibilities

Extracting, cleaning, and analyzing complex datasets using advanced SQL and Python skills.
Incorporating property, policy, and geographic information to support data-driven rate recommendations.
Collaborating with GIS and catastrophe modeling teams to build and refine predictive models.
Preparing comprehensive exhibits, charts, and interactive visualizations to communicate findings.
Reviewing data in preparation for analysis.
Checking results for accuracy and consistency (peer review).
Drafting reports and preparing other internal/external correspondence.
Maintaining documentation.
Predictive modeling and non-linear methods using mostly SQL and Python/R to support rate analyses.
Undertaking research projects of varying shape and size.

Benefits

Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges.
401(k) Plan – Includes a company matching program and profit-sharing contributions.
Discretionary Bonus Program – Recognizing employee contributions.
Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses.
Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
Holidays – A minimum of 10 paid holidays per year.
Family Building Benefits – Includes adoption and fertility assistance.
Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria.
Life Insurance & AD&D – 100% of premiums covered by Milliman.
Short-Term and Long-Term Disability – Fully paid by Milliman.