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 into AI model training. We bridge the gap between human and artificial intelligence. About this role: You will contribute direct lending and private credit expertise to an AI training project, helping develop training data that reflects how credit professionals underwrite deals, structure facilities, and monitor middle-market borrowers across the private credit spectrum. What we're looking for: - 3–8 years of private credit or direct lending experience at a BDC, direct lending platform, or credit fund (e.g., Ares Capital, Golub Capital, HPS Investment Partners, Blue Owl Capital, Apollo, Oaktree) - Associate, VP, or Director level - Strong credit underwriting skills: financial modeling, covenant analysis, collateral assessment, and credit memo writing - Experience structuring first lien, unitranche, second lien, or mezzanine facilities for sponsor-backed or non-sponsored borrowers - Familiarity with loan documentation, portfolio monitoring, and amendment/waiver processes Project Info (Requirements): - Minimum 15 hours commitment per week - Remote asynchronous contract - Join a research project with an elite AI lab. Help improve AI decision-making in private credit underwriting, deal structuring, and portfolio management

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

• 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.

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 corporate, SME and retail banking. - Design frameworks: Translate how commercial banks access clients, structure loans and credit facilities, manage balance sheet and risk into problems that push the limits of AI reasoning. - Construct expert benchmarks: Build and validate real-world credit cases, client-coverage systems and portfolio management frameworks used to evaluate frontier AI systems. Who You Are - 4+ years of experience at a major commerical bank (e.g. HSBC, BNP Paribas, Santander, Deutsche Bank, Barclays, UniCredit, Crédit Agricole, Standard Chartered, Emirates NBD, First National Bank) - Senior Credit/Risk Analyst, or Product Manager - Deep expertise in corporate, SME, or retail banking, including credit analysis, lending products, and balance‑sheet / risk management. - Experience conducting borrower and industry analysis, writing credit memos and client materials, and engaging directly with senior client stakeholders. - Familiarity with client reporting, portfolio and risk monitoring, and internal credit or risk‑policy constraints. - Genuine intellectual curiosity about the application of AI in institutional banking and risk management. 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