Arbital Health is looking to solve the problem of accurately measuring and forecasting value-based care contract performance in the healthcare industry.
Requirements
- Strong technical skills (including R, Python, SQL, Next.js, or React)
- Leverage your strong backend development skills in Python and with platforms like Databricks and AWS while working on the processing of high volumes of complex healthcare data
Responsibilities
- Review code, methodology, and analysis used for financial reporting in the healthcare industry
- Contribute to features of the Arbital Platform, especially financial reporting features
- Manage data requirements, evaluate appropriateness of data, and problem solve any issues with internal data and customers’ Claims, Eligibility, and Prescription data
- Model financial outcomes, evaluate drivers of healthcare trends, and identify risks
- Leverage your strong backend development skills in Python and with platforms like Databricks and AWS while working on the processing of high volumes of complex healthcare data
- Work closely with Product and Design teams to create a user experience that intuitively conveys complex healthcare and financial information
- Collaborate with an actuarial science team that primarily works in SAS, R, and Excel
Other
- Bachelor’s or Master’s degree in Actuarial Science or similar field
- Completion of four or more Society of Actuaries (SOA) exams preferred
- Minimum 4 years of experience as an actuarial analyst, with experience in medical claims data, especially experience with Medicare, Medicaid, or ACO business
- Startup experience is highly preferred
- Flexible hybrid work blending 1-2x week in-office (SF-area team) and collaboration weeks 1-3x per year (all employees). We are open to remote workers outside the SF Bay Area who are willing to travel for in-person collaboration up to 20% time.
