About The Position

Mentis AI is an expert intelligence platform for frontier AI. We partner with leading AI labs to improve how models reason and make decisions in high-stakes professional domains — starting with institutional finance. Our team brings direct experience from Lazard, Partners Group, and applied AI research, operating across London and San Francisco. 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.
  • Systematically evaluate divergence between professional insurance judgment and AI outputs across investments, underwriting, and actuarial contexts.
  • Translate how insurance professionals evaluate risk, price policies, manage general account portfolios, and model liabilities into problems that push the limits of AI reasoning.
  • Build and validate real-world underwriting cases, actuarial analyses and investment frameworks used to evaluate frontier AI systems.
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