Note: The job is a remote job and is open to candidates in USA. Arbital Health is a healthcare technology and actuarial company that centralizes, measures, and adjudicates value-based care contracts. The company is seeking a Senior Actuary & Data Science Engineer to build scalable actuarial models, integrate them with production software and AI systems, and apply actuarial standards to automated tools. The role also involves prototyping algorithmic solutions and collaborating with Product, Engineering, and Delivery teams on healthcare data problems.
Responsibilities
- Production Model Engineering: Design, build, and deploy scalable actuarial models (e.g., IBNR, financial forecasting, risk adjustment, pricing, etc.) that plug directly into our platform APIs and core engineering pipelines to solve real and complex actuarial problems
- 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
Skills
- Associate of the Society of Actuaries (ASA) required
- 6+ years of healthcare actuarial experience working with data (e.g., eligibility and claims) and building models
- Strong hands-on coding skills in Python, R, and SQL, with a demonstrated history of writing clean and reproducible code
- Experience with Git/GitHub for version control and collaborative development
- 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
- Entrepreneurial mindset with the ability to thrive in a fast-paced technology organization and communicate complex actuarial concepts to other teams
- 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
- Occasional travel required - Quarterly team offsites
- Fellow of the Society of Actuaries (FSA) preferred
- Hands-on experience with PySpark, Databricks, or distributed computing frameworks
- Familiarity with modern AI architectures (e.g., RAG or OKF frameworks, model evaluation suites)
- Experience translating traditional actuarial logic into modern engineering languages
Benefits
- Generous equity grants of ISO stock options
- An exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance
- 4% 401(k) match
- Flexible PTO
- A weeklong winter shutdown
- 10 holidays each year
Company Overview