PE & Growth Equity MBA Fellowship | Frontier AI Research, UK
Posted Today by Mentis AI
Negotiable
Undetermined
Remote
United Kingdom
Summary: The role is a residency opportunity for private equity and growth equity professionals to engage with advanced AI systems in financial contexts. Candidates will construct benchmarks, stress-test AI model reasoning, and design frameworks that challenge AI capabilities. This position offers hands-on experience at the intersection of investing and AI, with a focus on reshaping investment workflows. The role is suitable for individuals with 3 to 7 years of relevant experience in the finance sector.
Key Responsibilities:
- Construct expert benchmarks by building and validating financial models and investment cases.
- Stress-test model reasoning to identify weaknesses in AI-generated analyses.
- Design frameworks that translate investor navigation of uncertainty into AI reasoning challenges.
- Compare human judgment with AI outputs to evaluate divergence in investment reasoning.
Key Skills:
- 3 to 7 years of experience in private equity or growth equity.
- Strong modeling and valuation skills across the full deal lifecycle.
- Intellectual curiosity about the application of AI in finance.
- Experience at a renowned large-cap or upper-middle market fund in Europe or the US.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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.
The Opportunity: 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.
Why This Experience Is Valuable 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.
Who You Are 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 Residency Structure Commitment: 15+ hours/week, flexible scheduling Location: remote globally, or in-person if in London Compensation: Paid professional engagement Start date: Immediate / Rolling