About The Position

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.

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

Responsibilities

  • 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 investment reasoning and AI outputs.
  • Translate how investors navigate uncertainty, stress assumptions, and structure transactions into problems that push the limits of AI reasoning.
  • Build and validate real-world financial models, returns analyses, and investment cases used to evaluate frontier AI systems.
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