Senior Actuary, Healthcare Analytics

About the role

The Senior Actuary, Healthcare Analytics role at Carrum focuses on building and maintaining actuarial models to project healthcare cost and utilization for employer populations. This includes quantifying avoidance impact, unit cost savings, and total program ROI for employer clients across all covered episode categories. The position also involves designing and running scenario and sensitivity analyses, partnering with data science and analytics teams to build reproducible actuarial pipelines, and serving as the actuarial voice in client-facing work.

Responsibilities

• Build and maintain actuarial models projecting healthcare cost and utilization for employer populations covering procedure incidence, cost benchmarking, demographic adjustment, and trend analysis to produce credible, market-specific savings estimates.
• Own the end-to-end savings methodology: quantify avoidance impact, unit cost savings, and total program ROI for employer clients across all covered episode categories, ensuring outputs are internally consistent and defensible under actuarial review.
• Design and run scenario and sensitivity analyses across participation structures, ramp schedules, and cost trend assumptions, translating results into clear ranges and recommendations for Sales, Finance, and C-suite audiences.
• Partner with data science and analytics teams to build reproducible actuarial pipelines in Python, R, or SQL against cloud data platforms, with full documentation of assumptions, data lineage, and methodology for peer review and client disclosure.
• Serve as the actuarial voice in client-facing work: prepare savings estimates for RFPs and renewals, develop actuarial memoranda and certifications, and communicate findings in plain language to employer CFOs, benefits consultants, and brokers.

Requirements

• Associate of the Society of Actuaries (ASA) credential required.
• 5-10 years of actuarial experience in healthcare, preferably in a consulting environment such as Milliman, Mercer, Aon, Willis Towers Watson, or equivalent.
• Deep familiarity with commercial health plan pricing, employer self-funded/stop-loss plans, or value-based care economics.
• Proven experience building and validating healthcare cost and utilization models: incidence rates, PMPM/PMPY benchmarks, episode-of-care pricing, and cost trend analysis.
• Proficiency in Python or R for actuarial modeling; SQL for data extraction from cloud platforms (Databricks, Snowflake, BigQuery, or equivalent).
• Demonstrated ability to communicate actuarial findings to non-actuarial stakeholders including CFOs, benefits consultants, and executives.

Qualifications

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field.
• Knowledge of healthcare industry trends and best practices.
• Experience with healthcare cost and utilization models.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.

Skills

• Python or R for actuarial modeling.
• SQL for data extraction from cloud platforms.
• Healthcare cost and utilization modeling.
• Scenario and sensitivity analysis.
• Client-facing communication.

Benefits

• Stock option plan.
• Flexible schedules and remote work.
• Chicago and San Francisco offices available.
• Self-managed vacation days, within reason.
• Paid parental leave.
• Health, vision, and dental insurance.
• 401K retirement plan.

Pay

The salary range for this role is $200,000 - $225,000 depending on geography and level of experience, plus equity and an annual bonus.

Schedule

This role is remote.