The Opportunity
We are seeking an experienced, credentialed actuary (ASA or FSA) with a passion for software and modern technology to join us as Senior Actuary & Data Science Engineer.
Unlike traditional actuarial roles, this position sits directly within our Technology Organization. You will serve as the bridge between complex actuarial science and production software—building scalable actuarial models, integrating them within our AI architecture, embedding actuarial professionalism into automated tools, and creatively solving traditional healthcare risk problems using novel and emerging practices.
If you are an actuary who wants to build models at scale to increase their impact and to revolutionize value-based care and the actuarial practice through technology, this role is built for you.
What you'll do:
● AI Context & Efficacy: Collaborate with Product, Delivery, and other Engineering teams to inform domain context for our Arbital AI suite—refining prompts, expanding evaluation frameworks (e.g., CADRE), providing Golden question/answer pairs, and ensuring high fidelity in automated actuarial outputs.
● Actuarial Governance & Standards: Embed rigorous actuarial best practices, professionalism, and validation standards directly into our automated modeling tools and data pipelines.
● Domain-Driven Prototyping: Lead rapid proof-of-concept (POC) builds to de-risk complex actuarial logic and test new algorithmic approaches before working with other engineering teams to apply technical scaling.
● Cross-Functional Technical Leadership: Partner closely with Product, Engineering, and Delivery teams to translate messy real-world healthcare data problems into clean, scalable software solutions.
What you bring:
● Experience: 6+ years of healthcare actuarial experience working with data (e.g., eligibility and claims) and building models.
● Technical Proficiency: Strong hands-on coding skills in Python, R, and SQL, with a demonstrated history of writing clean and reproducible code.
● Engineering Mindset: Experience with Git/GitHub for version control and collaborative development.
● Modern Tech Curiosity: Deep interest or experience in leveraging modern technology—such as generative AI, LLMs, PySpark, or cloud data infrastructure—to solve complex actuarial or data science problems.
● Problem Solver: Entrepreneurial mindset with the ability to thrive in a fast-paced technology organization and communicate complex actuarial concepts to other teams.
Bonus points for:
● Familiarity with modern AI architectures (e.g., RAG or OKF frameworks, model evaluation suites).
● Experience translating traditional actuarial logic into modern engineering languages.
• Applicants must be legally authorized to work in the United States for the duration of their employment.
• This position is not eligible for employer-sponsored immigration sponsorship, now or in the future. • Applicants must be able to work in the United States without requiring employer sponsorship.
Skills Required
- Associate of the Society of Actuaries (ASA) credential
- At least 6 years of healthcare actuarial experience working with eligibility and claims data and building models
- Strong hands-on coding skills in Python, R, and SQL
- Experience writing clean and reproducible code
- Experience with Git/GitHub for version control and collaborative development
- Deep interest or experience using modern technology, such as generative AI, LLMs, PySpark, or cloud data infrastructure
- Ability to communicate complex actuarial concepts to cross-functional teams
- Fellow of the Society of Actuaries (FSA) credential
- Hands-on experience with PySpark, Databricks, or distributed computing frameworks
- Familiarity with modern AI architectures, including RAG or OKF frameworks and model evaluation suites
- Experience translating traditional actuarial logic into modern engineering languages
- Legally authorized to work in the United States without employer sponsorship
What We Do
Arbital Health’s vision is to become the neutral 3rd party adjudicator of outcomes based contracts, unlocking and accelerating the $1 trillion shift to Value-Based Care in the U.S. healthcare system. We aspire to be the trusted umpire adjudicating every outcome-based contract in healthcare, whether contracts are between life sciences companies and payers, payers and providers, or employers and digital health companies. We will make it simple to adjudicate contracts and unlock the trillion dollar shift to value-based care in America. In doing so, we will help to solve healthcare’s biggest problem.
