Senior Actuarial Analyst

Remote

Full-Time

Senior (7+ yrs)

Data & Analytics

Posted on June 26, 2026

As a Senior Actuarial Analyst, you will be responsible for quantifying and communicating Included Health's value to our clients by executing complex financial impact modeling and actuarial analysis. This position plays a crucial role within the Actuarial team, reporting through the broader Finance organization. You will partner with cross-functional teams to translate raw healthcare claims and data context into clear insights that demonstrate cost savings, trend impacts, and clinical value.

Responsibilities:

Actuarial Analysis: Conduct complex actuarial analyses on the cost of healthcare, including industry trend forecasting and Total Cost of Care (TCOC) impact calculations.
Methodology Support: Own and maintain the execution of savings and ROI methodologies for one or more product lines, assessing the need for updates and creating parameter estimates for change.
Subject Matter Expertise: Serve as a subject matter expert on medical/Rx claims data, eligibility structures, and the underlying drivers of healthcare costs.
Insight Generation: Research and analyze the specific drivers of increased or decreased savings for particular clients or products, translating the data into actionable recommendations.
Scaling & Automation: Drive report automation and dashboarding projects (e.g., using Looker or Tableau) to scale insight generation and enable other internal teams to self-serve key metrics.
Code Governance: Write clean, efficient code and participate in team peer reviews with a critical eye and high attention to detail to ensure technical accuracy.
Documentation & Alignment: Document and maintain savings and ROI methodologies clearly and succinctly for the purpose of client communication, peer knowledge sharing, and future reference.

Qualifications:

Experience: Minimum of 5 years of related experience in healthcare economics, actuarial science, or quantitative financial analysis.
Education: Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, or a related quantitative field.
Actuarial Progress: Completion of at least 1 actuarial exam in pursuit of the ASA or other equivalent designation is preferred.
Technical Skills: Expert proficiency in SQL and Excel/Google Sheets. Competency or proficiency with Python for data analysis and automation is highly preferred.
Data Knowledge: Hands-on experience working with various types of raw data, including medical/Rx claims, eligibility data, and product engagement data.
Communication: Strong written and verbal communication skills, with a demonstrated ability to explain complex technical or economic analyses to peers and stakeholders.
Tools: Familiarity with business tools such as Looker, Tableau, GitHub, Jira, and Confluence.

Physical/Cognitive Requirements:

Prompt and regular attendance at assigned work location.
Capability to remain seated in a stationary position for prolonged periods.
Eye-hand coordination and manual dexterity to operate keyboard, computer and other office-related equipment.
Ability to form a plan for execution of a particular analysis or deliverable.
Attention to detail as applied to analytics requests and code review prior to delivery of results.
Critical thinking skills and adaptability to changing priorities.