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 investment reasoning and AI outputs across equities, fixed income, and multi-asset contexts. - Design frameworks: Translate how institutional investors evaluate securities, construct portfolios, and manage risk into problems that push the limits of AI reasoning. - Construct expert benchmarks: Build and validate real-world investment cases, securities analyses, and portfolio management frameworks used to evaluate frontier AI systems. Why This Experience Is Valuable - Hands-on exposure to how AI is reshaping investment workflows, from fundamental research and portfolio construction to client communication and risk attribution. - You will be among the first institutional investment professionals to work directly on how frontier AI models reason about public markets and portfolio management. Who You Are - 4+ years of experience at a major long-only institutional manager (e.g. BlackRock, Vanguard, Fidelity, Capital Group, T. Rowe Price, Wellington, PIMCO, MFS, Neuberger Berman, Jennison, Artisan Partners) - Senior Research Analyst or Portfolio Manager level - Deep expertise in equities, fixed income, or multi-asset portfolio management - Experience conducting fundamental analysis, writing investment commentary, and engaging with company management or issuers - Familiarity with client reporting, risk attribution, and investment policy constraints - Genuine intellectual curiosity about the application of AI in institutional finance Residency Structure - Commitment: 15+ hours/week, flexible scheduling - Location: Remote globally - Compensation: Hourly rate depending on experience - Start date: Immediate / Rolling

Our founders are ex-Lazard and Partners Group, and we're headquartered in London and San Francisco. Mentis AI brings real-world expertise from finance, healthcare, and law into AI model training. We bridge the gap between human and artificial intelligence. About this role: You will understand AI reasoning in institutional asset management by translating investment processes into AI-readable logic. By iteratively comparing human and machine judgements across asset classes, you will gain hands-on experience at how to use AI models that are changing research, portfolio construction and client communication. What we're looking for: - 4+ years of experience at a major long-only institutional manager (e.g., BlackRock, Vanguard, Fidelity, Capital Group, T. Rowe Price, Wellington Management, PIMCO, MFS Investment Management, Neuberger Berman, Jennison Associates, Artisan Partners) - (Senior Research) Analyst or Portfolio Manager level - Deep expertise in equities, fixed income, or multi-asset portfolio management - Experience conducting fundamental analysis, writing investment commentary, and engaging with company management or issuers - Familiarity with client reporting, risk attribution, and investment policy constraints Project Info (Requirements): - Commitment: 15+ hours/week, flexible scheduling - Location: Remote globally - Compensation: Hourly rate depending on experience - Start date: Immediate / Rolling

Our founders are ex-Lazard and Partners Group, and we're headquartered in London and San Francisco. Mentis AI brings real-world expertise from finance, healthcare, and law into AI model training. We bridge the gap between human and artificial intelligence. 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. What we're looking for: - 4+ years at an established hedge fund as a PM or (Senior) Analyst - Experience in one or more of the following strategies: - Multi-manager platforms (e.g., pod-based or sector-focused pods at large platforms) - Fundamental long/short equity (single-stock research, long-biased or market-neutral) - Credit and distressed (high yield, distressed debt, restructuring, special situations) - Event-driven and activist (merger arbitrage, spin-offs, activism, corporate catalysts) - Macro and quantitative (systematic strategies, factor research, discretionary macro) - Strong ability to build and communicate investment theses, credit analyses, or systematic frameworks in writing - Experience with position sizing, risk management, and high-accountability investment environments 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

About Us Mentis AI works at the intersection of institutional finance expertise and frontier AI systems. Our team combines deep financial services 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 banking judgment and AI outputs across M&A, ECM, DCM, and leveraged finance contexts. - Design frameworks: Translate how senior bankers evaluate transactions, structure deals, and advise clients through origination, execution, and close into problems that push the limits of AI reasoning. - Construct expert benchmarks: Build and validate real-world transaction analyses, valuation frameworks, and deal materials used to evaluate frontier AI systems Why This Experience Is Valuable - Hands-on exposure to how AI is reshaping deal workflows, from pitching and origination through financial modeling, fairness opinions, and transaction close. - You will be among the first investment banking professionals to work directly on how frontier AI models reason about transaction structuring, valuation, and capital markets execution. Who You Are - 3–7 years of experience in investment banking or capital markets at a bulge bracket or elite boutique (e.g. Goldman Sachs, Morgan Stanley, J.P. Morgan, Bank of America, Citi, Barclays, UBS, Deutsche Bank, Wells Fargo, Evercore, Moelis, Centerview, Lazard, Jefferies) - Associate, VP, or Director level across M&A, industry coverage, ECM/DCM, leveraged finance, or syndicate - Deep expertise in at least one of: M&A deal structuring and valuation, equity or debt capital markets execution, sector-specific coverage, or syndicate/book-running - Strong financial modeling skills (including LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials - Ability to articulate investment banking judgment clearly and precisely in writing - Genuine intellectual curiosity about the application of AI in financial services 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