Execute and lead select R&D test-and-learn initiatives, including formulation of hypotheses, analytical design, back-testing, and interpretation of results.
Provide project management and coordination for the portfolio of Precision Claims & Trend R&D test-and-learns across actuarial and data science teams.
Lead day-to-day R&D program governance, including ideation, prioritization, progress tracking, and documentation of learnings.
Facilitate cross-functional collaboration between actuarial, data science, and technology partners to ensure alignment on objectives, assumptions, and success criteria.
Manage stakeholder engagement for the R&D program, including regular communication of progress, findings, risks, and trade-offs to actuarial/finance and data science leadership and key partners.
Requirements
Strong actuarial background with experience in medical claims reserving, trend analysis, or related financial analytics.
Demonstrated ability to lead complex analytical workstreams without formal people-management authority.
Experience executing analytical or research initiatives while also coordinating work across multiple stakeholders.
Comfort working with large, complex datasets and modern analytical tools (e.g., SQL, Python, R, SAS).
Working knowledge of advanced analytics, predictive modeling, or machine learning concepts and their actuarial applications.
Strong organizational, communication, and stakeholder-management skills.
Ability to operate effectively in ambiguous, early-stage R&D environments and balance execution with governance.
Tech Stack
Python
SQL
Benefits
This role offers a unique opportunity to shape and scale an enterprise actuarial R&D program at the intersection of actuarial judgment, advanced analytics, and financial decision-making.
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.