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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 credit judgment and AI outputs across direct lending, unitranche, and structured credit contexts. Design frameworks: Translate how credit professionals evaluate borrowers, structure facilities, and monitor middle-market companies through the deal lifecycle into problems that push the limits of AI reasoning. Construct expert benchmarks: Build and validate real-world credit analyses, underwriting cases, and portfolio monitoring frameworks used to evaluate frontier AI systems. Why This Experience Is Valuable Hands-on exposure to how AI is reshaping credit workflows, from underwriting and covenant analysis through loan documentation, portfolio monitoring, and amendment processes. You will be among the first private credit professionals to work directly on how frontier AI models reason about credit underwriting, deal structuring, and portfolio management. Who You Are 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 Genuine intellectual curiosity about the application of AI in private credit and 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
1-50 employees