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 professional investment reasoning and AI outputs across equities, fixed income, and multi-asset contexts.
Design frameworks: Translate how institutional investors evaluate securities, construct portfolios, and manage risk into problems that push the limits of AI reasoning.
Construct expert benchmarks: Build and validate real-world investment cases, securities analyses, and portfolio management frameworks used to evaluate frontier AI systems.
Why This Experience Is Valuable
Hands-on exposure to how AI is reshaping investment workflows, from fundamental research and portfolio construction to client communication and risk attribution.
You will be among the first institutional investment professionals to work directly on how frontier AI models reason about public markets and portfolio management.
Who You Are
4+ years of experience at a major long-only institutional manager (e.g. BlackRock, Vanguard, Fidelity, Capital Group, T. Rowe Price, Wellington, PIMCO, MFS, Neuberger Berman, Jennison, Artisan Partners)
Senior Research Analyst or Portfolio Manager level
Deep expertise in equities, fixed income, or multi-asset portfolio management
Experience conducting fundamental analysis, writing investment commentary, and engaging with company management or issuers
Familiarity with client reporting, risk attribution, and investment policy constraints
Genuine intellectual curiosity about the application of AI in institutional finance
Residency Structure
Commitment: 15+ hours/week, flexible scheduling
Location: Remote globally
Compensation: Hourly rate depending on experience
Start date: Immediate / Rolling
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