About the job
About Us Mentis AI operates at the forefront of institutional finance and advanced AI, merging extensive experience in financial services with cutting-edge machine learning and AI research. Our teams, based in San Francisco and London, collaborate with top AI laboratories to enhance decision-making processes in critical financial situations.
The Opportunity As AI technology increasingly integrates into essential insurance operations—from portfolio management to underwriting and regulatory assessments—this residency offers insurance professionals a unique chance to gain practical insights into the development, evaluation, and optimization of advanced AI systems within the insurance sector.
Your responsibilities will include:
Constructing Expert Benchmarks: Develop and validate real-world underwriting scenarios, actuarial evaluations, and investment strategies used for assessing advanced AI systems.
Stress-Testing Model Reasoning: Identify and analyze weaknesses in AI-generated insurance evaluations, uncovering flaws in logic, assumptions, or domain understanding.
Designing Frameworks: Transform how insurance experts assess risks, set policy prices, manage portfolios, and model liabilities into challenges that extend the boundaries of AI reasoning.
Comparing Human vs. Machine Judgment: Rigorously assess the differences between professional insurance decisions and AI outputs in various contexts such as investments and underwriting.
Why This Experience Is Valuable
Be among the pioneers in the insurance field working directly on how advanced AI models interpret carrier operations and risk management.
Enhance your profile if you aim to bridge the gap between insurance and AI, whether at an insurance company, AI firm, or as an entrepreneur.
Gain hands-on experience with how AI is transforming insurance processes, from underwriting to pricing and capital modeling.
Who You Are
Possess 4+ years of experience at a prominent P&C or Life insurance company.
Hold an Associate or VP role in areas such as underwriting, actuarial sciences, or portfolio management.

