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About the Role

This unique actuarial role involves critical rate analysis and development of rate updates for a nationwide insurance program. You will extract, clean, and analyze complex datasets using advanced SQL and Python skills, incorporating property, policy, and geographic information to support data-driven rate recommendations. Collaboration with GIS and catastrophe modeling teams is essential for building and refining predictive models to set fair and accurate premiums. The role requires preparing comprehensive exhibits, charts, and interactive visualizations for diverse audiences, operating in a deadline-driven, highly collaborative environment that demands creativity and perseverance in adapting to new challenges and evolving methodologies.

Responsibilities

Execute analyses and conduct research to inform innovative solutions for clients' complex challenges
Present findings to peers, project managers, and client relationship managers
Play a critical role in rate analysis and development of rate updates for an insurance program with nationwide impact
Extract, clean, and analyze complex datasets using advanced SQL and Python skills
Incorporate property, policy, and geographic information to support robust, data-driven rate recommendations
Collaborate with GIS and catastrophe modeling teams to build and refine predictive models
Prepare comprehensive exhibits, charts, and interactive visualizations to communicate findings to technical and non-technical audiences
Review data in preparation for analysis
Check results for accuracy and consistency (peer review)
Draft reports
Maintain documentation
Perform predictive modeling and non-linear methods using SQL and Python/R to support rate analyses
Draft written reports and Excel-based exhibits
Prepare other internal/external correspondence
Undertake research projects of varying shape and size

Requirements

Bachelor’s degree or higher, including quantitative coursework in actuarial science, data science, mathematics, or statistics
A minimum of two actuarial exams passed
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
Able and willing 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 contribute to project success 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
Ability and willingness to clearly articulate questions and ideas

Skills

SQL
Python
R
MS Excel
MS Word
Data analysis
Predictive modeling
Non-linear methods
Data visualization (PowerBI, Tableau, Looker - preferred)
Cloud-based data analysis tools (preferred)
Working knowledge of databases (preferred)
Critical thinking
Technical skills
Analytical skills
Problem-solving (real-world data problems in professional services)

Location

Remote
United States

Work Type

Remote
Full-time

Experience Level

Minimum of one relevant internship
Up to four years of professional actuarial experience

Education Level

Bachelor’s degree or higher
Quantitative coursework (actuarial science, data science, mathematics, statistics)
Minimum of two actuarial exams
In pursuit of a credential from the Casualty Actuarial Society

Salary/Compensations

Overall salary range: $60,300 - $136,160
Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or District of Columbia: $69,345 - $121,555 (less than 2 years experience)
Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or District of Columbia: $77,740 - $136,160 (2 to 4 years experience)
All other states: $60,300 - $105,700 (less than 2 years experience)
All other states: $67,600 - $118,400 (2 to 4 years experience)

Benefits

Medical, Dental and Vision coverage for employees, dependents, and domestic partners
Employee Assistance Program (EAP)
401(k) Plan with company matching program and profit-sharing contributions
Discretionary Bonus Program
Flexible Spending Accounts (FSA) for dependent care, transportation, and eligible medical expenses
Paid Time Off (PTO) accruing from the first day of work (15 days per year for full-time employees, prorated for less than full-time)
Minimum of 10 paid holidays per year
Family Building Benefits including adoption and fertility assistance
Paid Parental Leave (up to 12 weeks for eligible employees)
Life Insurance & AD&D (100% of premiums covered by Milliman)
Short-Term and Long-Term Disability (fully paid by Milliman)

About the Company

Milliman is an independent company for over 75 years, delivering market-leading services and solutions worldwide.
The company helps clients with critical issues such as retirement funding, healthcare financing, risk management, regulatory compliance, data analytics, and business transformation.
Milliman invests in skills training and career development, offering learning and mentoring opportunities.
Employee Resource Groups (ERG’s) are employee-led communities that influence policy, develop leaders, and amplify voices.
The San Francisco Tri-State Property and Casualty practice comprises about 50 employees with expertise in actuarial, data science, and geospatial analysis.
The practice addresses important insurance problems, including climate resilience and telematics.
Consults with insurance carriers, reinsurers, and self-insureds on loss reserving and pricing.
Builds predictive models and innovative insurance products for traditional and start-up insurers, including state regulatory rate filing support.

Equal Opportunity

All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.