Construct expert benchmarks: Build and validate real-world financial models, returns analyses, and investment cases used to evaluate frontier AI systems.
Stress-test model reasoning: Diagnose weaknesses in AI-generated analyses, identifying where logic, assumptions or market intuition fail.
Design frameworks: Translate how investors navigate uncertainty, stress assumptions, and structure transactions into problems that push the limits of AI reasoning.
Compare human vs machine judgment: Systematically evaluate divergence between professional investment reasoning and AI outputs.
Requirements
3 to 7 years of experience in PE or Growth Equity at a renowned large-cap or upper-middle market fund in Europe or the US
Associate, VP, or Principal level; industry agnostic.
Strong modeling and valuation skills with experience across the full deal lifecycle.
Genuine intellectual curiosity about application of AI in finance