• Independently own and execute specific research tasks or sub-projects. • Design and implement complex experiments to test new hypotheses. • Analyze and interpret results to draw clear conclusions. • Contribute high-quality, reusable code to the team's repository. • Actively contribute to improving the internal benchmark by identifying data gaps and proposing new evaluation metrics.

• Scientifically direct the design and training of large-scale, state-of-the art deep learning systems • Develop novel architecture and training paradigms • Collaborate with content experts from other domains • Actively contribute to top-tier ML conferences and journals

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 advisory judgment and AI outputs across asset allocation, alternatives, financial planning, and private client contexts. - Design frameworks: Translate how practitioners build tailored portfolios, select managers, navigate tax and estate considerations, and communicate investment rationale to sophisticated clients into problems that push the limits of AI reasoning. - Construct expert benchmarks: Build and validate real-world portfolio analyses, financial planning frameworks, and client advisory materials used to evaluate frontier AI systems. Who You Are - 3+ years of experience as a Financial Advisor, Portfolio Manager, or CIO at an RIA, private bank, or family office (e.g. Mercer Advisors, Creative Planning, NewEdge Capital Group, Moneta, Cresset, JPMorgan Private Bank, Goldman Sachs PWM, Citi Private Bank) - Experience managing complex client relationships with meaningful AUM ($5M+ households preferred) - Deep familiarity with asset allocation, manager selection, alternatives, tax-aware investing, and estate/trust planning considerations - Ability to articulate investment rationale and financial planning strategy clearly and concisely in writing - CFP, CFA, CIMA, or equivalent designation a plus - Genuine intellectual curiosity about the application of AI in wealth management and private client advisory Residency Structure - Commitment: 15+ hours/week, flexible scheduling - Location: Remote globally - Compensation: Hourly rate depending on experience - Start date: Immediate / Rolling

About Us 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. The Opportunity 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. 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. 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, or in-person if based in London - Compensation: Hourly rate depending on experience - Start date: Immediate / Rolling