• Apply population risk and actuarial models to normalize performance measurement across value-based care programs • Operationalize CMS-HCC, Milliman, and comparable population risk methodologies for performance evaluation and financial measurement • Support development and maintenance of risk-normalized total cost of care and quality performance metrics • Validate performance measurement methodologies used in shared savings, downside risk, and alternative payment models • Analyze population risk movement and evaluate impacts on program financial performance and provider outcomes • Partner with actuarial and finance teams to align modeling assumptions with contractual measurement logic • Identify and investigate performance variances driven by population acuity, attribution changes, coding variation, or data completeness • Support performance year reconciliation, settlement calculations, and financial exposure analysis • Define and document measurement methodologies, assumptions, and model governance controls • Collaborate with analytics and data engineering teams to integrate risk modeling logic into reporting and measurement pipelines • Provide analytical expertise supporting provider performance reviews and measurement inquiries • Translate complex modeling outcomes into clear insights for operational and executive stakeholders • Ensure consistency and repeatability of population measurement processes across programs and performance periods • Serve as subject matter expert for population risk interpretation supporting value-based care strategy and operations.