About The Position

AI is moving fast into core insurance workflows — portfolio management, underwriting, actuarial modeling, regulatory capital analysis. But these models still struggle with the kind of judgment that experienced insurance professionals apply instinctively. This residency gives you early, hands-on involvement in how frontier AI systems are built and evaluated for carrier operations and insurance finance. You'll work directly on the problems that matter: teaching AI where it falls short of professional judgment, and building the benchmarks that push it forward.

Requirements

  • 4+ years of experience at a major P&C or Life insurance carrier
  • Associate or VP level in one of the following functions:
  • Investments: Managing fixed income or multi-asset portfolios within an insurance general account; familiarity with ALM, duration matching, and regulatory capital constraints (RBC/Solvency II)
  • Underwriting: Risk selection, pricing, and loss modeling across commercial lines, specialty, or personal lines
  • Actuarial: FSA/FCAS or near-credentialed; experience in reserving, pricing, or capital modeling
  • Ability to articulate insurance-specific analytical judgment clearly and precisely in writing
  • Genuine intellectual curiosity about the application of AI in the insurance industry

Responsibilities

  • Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.
  • Compare human vs. machine judgment: Systematically evaluate divergence between professional insurance judgment and AI outputs across investments, underwriting, and actuarial contexts.
  • Design frameworks: Translate how insurance professionals evaluate risk, price policies, manage general account portfolios, and model liabilities into problems that push the limits of AI reasoning.
  • Construct expert benchmarks: Build and validate real-world underwriting cases, actuarial analyses and investment frameworks used to evaluate frontier AI systems.
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