Construct expert benchmarks: Build and validate real-world credit analyses, underwriting cases, and portfolio monitoring frameworks used to evaluate frontier AI systems.
Stress-test model reasoning: Diagnose weaknesses in AI-generated credit analyses, identifying where logic, assumptions, or underwriting intuition fail.
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.
Compare human vs. machine judgment: Systematically evaluate divergence between professional credit judgment and AI outputs across direct lending, unitranche, and structured credit contexts.

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

Private Credit Professional – AI Residency, Part-time

Key skills