Private Equity & Equity, AI Residency; Part-time | Frontier AI Research

About Us:

Mentis AI works at the intersection of private markets expertise and frontier AI systems. Our team combines institutional finance 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.

AI is rapidly becoming embedded into core investment workflows, ranging from screening, diligence, underwriting, portfolio management, and exit analysis. This residency is designed for private equity and growth equity professionals who want early, practical exposure to how advanced AI systems are built, evaluated, and improved. You will:

• 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.

• You will be among the first investment professionals to work directly on how frontier AI models reason about private markets.
• A distinctive profile for anyone who wants to sit at the intersection of investing and AI, whether at a fund, an AI company, or building something themselves.
• Hands-on exposure to how rapidly AI is reshaping deal workflows, from screening and diligence to portfolio monitoring and exit preparation.

• 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

• Commitment: 15+ hours/week, flexible scheduling
• Location:
  
  remote globally, or in-person if in London
• Compensation:
  Paid professional engagement
• Start date:
  
  Immediate / Rolling