Insurance Professionals - AI Residency (Part-time) | Frontier AI Research (US)
About Us Mentis AI works at the intersection of institutional investment expertise and frontier AI systems. Our team combines deep asset management experience (Lazard, Partners Group) with machine learning and applied AI research. Operating across London and San Francisco, we collaborate with leading AI labs to improve how models reason, generalize, and make decisions in high-stakes financial contexts.
The Opportunity This residency is designed for senior research analysts and portfolio managers who want exposure and a meaningful experience towards the direction of AI in your domain and earn early, practical exposure at using advanced AI system.
You will:
Prompt: 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.
Why This Experience Is Valuable
Hands-on exposure to how AI is reshaping insurance workflows, from underwriting and pricing to portfolio management, reserving, and capital modeling.
You will be among the first insurance professionals to work directly on how frontier AI models reason about carrier operations, risk selection, and insurance finance.
Who You Are
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
Residency Structure
Commitment: 15+ hours/week, flexible scheduling
Location: Remote globally
Compensation: Hourly rate depending on experience
Start date: Immediate / Rolling