Hedge Fund — AI Residency (Part-time) | Frontier AI Research

About Us Mentis AI works at the intersection of institutional investment expertise and frontier AI systems. Our team combines deep asset management 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 This residency is designed for senior research analysts and portfolio managers who want exposure and a meaningful experience towards the direction of AI in your domain and earn early, practical exposure at using advanced AI system.

You will:

• Prompt: Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.

• Compare human vs. machine judgment: Systematically evaluate divergence between portfolio-manager/analyst views and AI outputs across equities, credit, macro and multi-strategy hedge-fund contexts.

• Design frameworks: Translate how hedge funds source ideas, build investment theses, size positions, manage portfolio and factor risk into problems that push the limits of AI reasoning.

• Construct expert benchmarks: Build and validate real-world credit cases, client-coverage systems and portfolio management frameworks used to evaluate frontier AI systems.
  

Why This Experience Is Valuable

• Hands-on exposure to how AI is reshaping hedge-fund workflows, from idea generation and fundamental/quant research to trade construction, risk management and investor reporting.

• You will be among the first institutional investment professionals to work directly on how frontier AI models reason about securities, macro regimes and portfolio risk across multi-asset hedge-fund strategies.
  

What we're looking for:

• 4+ years at an established hedge fund as a PM or (Senior) Analyst

• Experience in one or more of the following strategies:

  • Multi-manager platforms (e.g., pod-based or sector-focused pods at large platforms)

  • Fundamental long/short equity (single-stock research, long-biased or market-neutral)

  • Credit and distressed (high yield, distressed debt, restructuring, special situations)

  • Event-driven and activist (merger arbitrage, spin-offs, activism, corporate catalysts)

  • Macro and quantitative (systematic strategies, factor research, discretionary macro)

• Strong ability to build and communicate investment theses, credit analyses, or systematic frameworks in writing

• Experience with position sizing, risk management, and high-accountability investment environments
  

Residency Structure

• Commitment: 15+ hours/week, flexible scheduling

• Location: Remote globally, or in person if based in London

• Compensation: Hourly rate depending on experience

• Start date: Immediate / Rolling