Senior Actuary, Data Science Engineer

atArbital HealthRemoteUS flagUnited StatesFull-timeData ScientistSenior$190k – $215k/year

Posted 15 hours ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, construct, and implement scalable actuarial models, including IBNR, financial forecasting, risk adjustment, and pricing models.

• Incorporate actuarial models with platform APIs and core engineering workflows.

• Work collaboratively with Product, Delivery, and Engineering teams to provide domain context for the Arbital AI suite.

• Enhance prompts, broaden evaluation frameworks such as CADRE, create Golden question/answer pairs, and ensure high-fidelity automated actuarial outputs.

• Integrate actuarial best practices, professionalism, and validation standards into automated modeling tools and data pipelines.

• Spearhead rapid proof-of-concept developments to mitigate risks associated with complex actuarial logic and test algorithmic methods.

• Collaborate across functions to translate healthcare data challenges into scalable software solutions.

• Create scalable models within AI architecture and address healthcare risk issues using innovative practices.


⛳️ Requirements

• Associate of the Society of Actuaries (ASA) is required; Fellow of the Society of Actuaries (FSA) is preferred.

• A minimum of 6 years of healthcare actuarial experience involving data, including eligibility and claims, along with model development.

• Proficient coding skills in Python, R, and SQL.

• Proven track record of writing clean and reproducible code.

• Experience using Git/GitHub for version control and collaborative development.

• Strong interest or experience in leveraging generative AI, LLMs, PySpark, or cloud data infrastructure.

• Entrepreneurial mindset with the ability to excel in a dynamic technology organization.

• Capacity to convey intricate actuarial concepts to other teams effectively.

• Practical experience with PySpark, Databricks, or distributed computing frameworks is an advantage.

• Acquaintance with modern AI architectures, such as RAG or OKF frameworks and model evaluation suites, is a plus.

• Experience in translating traditional actuarial logic into contemporary engineering languages is a bonus.

• Candidates must be legally authorized to work in the United States for the duration of employment.

• Must be eligible to work in the United States without employer sponsorship.


🏝️ Benefits

• Generous equity grants of ISO stock options.

• Comprehensive benefits package with significant employer-paid contributions for health, dental, and vision insurance.

• 4% 401(k) match.

• Flexible PTO.

• Weeklong winter shutdown.

• 10 holidays each year.

• Quarterly team offsites.

• Opportunity to develop a crucial software platform that accelerates the American healthcare system's transition to value-based care.

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