Senior Actuary & Data Science Engineer

Accountabilities:

• Design, build, validate, and deploy scalable actuarial models, including IBNR, financial forecasting, risk adjustment, pricing, and other healthcare risk models, integrating them directly with platform APIs and engineering pipelines.
• Apply actuarial expertise to complex healthcare data involving areas such as eligibility and claims, transforming real-world data and business challenges into reliable, production-ready solutions.
• Collaborate with Product, Delivery, and Engineering teams to provide actuarial domain context for AI-enabled products, including refining prompts, developing evaluation frameworks, and creating high-quality question-and-answer datasets.
• Help improve the fidelity and effectiveness of automated actuarial outputs by applying professional actuarial judgment and rigorous evaluation practices.
• Embed actuarial governance, professional standards, validation methodologies, and quality controls into automated models, tools, and data pipelines.
• Lead rapid proof-of-concept development to test complex actuarial logic, validate new algorithms, and de-risk technical approaches before broader engineering implementation.
• Translate traditional actuarial methodologies into modern software and data science workflows, identifying opportunities to improve scalability, efficiency, and reproducibility.
• Partner across Product, Engineering, Delivery, and other technical teams to provide technical leadership and communicate complex actuarial concepts clearly to diverse stakeholders.
• Explore emerging technologies and methodologies, including generative AI, LLMs, distributed computing, and cloud data infrastructure, to solve actuarial and healthcare risk problems in innovative ways.

Requirements

• ASA credential required, with FSA strongly preferred.
• 6+ years of healthcare actuarial experience working extensively with data, including eligibility and claims data, and developing actuarial models.
• Strong hands-on programming skills in Python, R, and SQL, with demonstrated experience producing clean, maintainable, and reproducible code.
• Experience using Git/GitHub for version control and collaborative software development.
• Strong interest in modern technology and demonstrated ability to apply or learn technologies such as generative AI, LLMs, PySpark, and cloud-based data infrastructure.
• Entrepreneurial and highly analytical mindset, with the ability to work effectively in a fast-paced technology environment and take ownership of complex, ambiguous problems.
• Strong communication skills and the ability to explain sophisticated actuarial concepts to Product, Engineering, Delivery, and other non-actuarial stakeholders.
• Hands-on experience with PySpark, Databricks, or distributed computing frameworks is a plus.
• Familiarity with modern AI architectures and evaluation approaches, including RAG, OKF frameworks, or model evaluation suites, is desirable.
• Experience translating traditional actuarial logic into modern engineering languages and production software is highly valued.
• Ability to collaborate effectively across disciplines while balancing actuarial rigor, technical scalability, and practical business needs.

Benefits

• Annual salary of $190,000–$215,000.
• Generous equity grants through ISO stock options.
• Health, dental, and vision insurance with strong employer-paid contributions.
• 4% 401(k) match.
• Flexible PTO.
• Weeklong winter shutdown.
• 10 paid holidays each year.
• Quarterly team offsites, with occasional travel required.
• Opportunity to work on a critical technology platform supporting the transition toward value-based care in the U.S. healthcare system.
• Collaborative and creative environment with opportunities to learn, build, and take on increasing responsibility.
• Applicants must be legally authorized to work in the United States for the duration of employment.
• This position is not eligible for employer-sponsored immigration sponsorship now or in the future.