Actuary/Senior Actuarial Analyst

Thyme Care•Remote, United States

5d•$108,000 - $150,000

About The Position

As an Actuary or Senior Actuarial Analyst at Thyme Care, you will play a key role in supporting the development, maintenance, and execution of actuarial models and analytics that underpin our value-based care partnerships. This role sits at the intersection of actuarial science, data analytics, and operations, with a strong emphasis on working directly with large healthcare datasets to produce accurate, timely, and actionable insights. This role will operate with a meaningful degree of autonomy, owning defined processes and analyses end-to-end, while collaborating closely with actuarial, finance, data science, and clinical partners. This role is well-suited for an actuarial professional who enjoys hands-on technical work, problem solving, and growing responsibility within a fast-paced start-up environment. This role is open at multiple levels, depending on experience and scope.

Requirements

Bachelor's degree in Statistics, Actuarial Sciences, Economics, Math or other quantitative discipline
ASA, or near-ASA with demonstrated progress towards credentials (4+ exams)
2+ years of actuarial experience in a healthcare environment
Experience using SQL or another structured coding language to pull and transform healthcare data from large databases
Proficiency in writing clean, efficient code and ability to troubleshoot and review code written by yourself or others
Experience working with claim-level datasets

Nice To Haves

Strong communication skills and ability to articulate results, solutions, and recommendations to internal stakeholders (i.e., the “So What”).
Experience in value-based care arrangements and working knowledge of key value-based concepts like Medicare Advantage, risk scores, shared savings, or CMS payment models
Exposure to multiple actuarial functions (pricing, reserving, forecasting, trend, pharmacy, etc.) via rotational program or consulting role
Proficiency in at least one other coding language aside from SQL or SAS (e.g., Python, R, dbt, etc.)
Expertise working with spreadsheet software utilizing functions, formulas, and graphs

Responsibilities

Own and execute recurring actuarial and financial analysis for multiple value-based care contracts, including development and maintenance of forecasting models, evaluation of program efficacy using advanced statistical methods, and designing / deploying large-scale database solutions to drive innovation and efficiency in actuarial workflows.
Support business development by building actuarial client relationships and own end-to-end actuarial analytic functions relating to a portfolio of national payer clients.
Partner with actuarial and finance leadership to support financial reconciliations and performance reviews, including preparing analysis outputs and presenting results to executive audiences.
Develop, run, and optimize SQL queries to extract, transform, and validate healthcare claims and operational data used in actuarial analyses and performance estimates.
Perform ad hoc and exploratory data analyses to investigate performance trends, identify drivers of over- or under-performance, and surface actionable insights for internal stakeholders.
Evaluate the reasonableness and sensitivity of model outputs, proactively identifying data quality issues, assumptions, or emerging risks.
Collaborate cross-functionally with analytics, clinical, and operations teams to ensure alignment between data, models, and real-world workflows.
Contribute to the improvement and automation of actuarial processes and analytical pipelines as the organization scales, helping to establish best practices in a start-up environment.