Asset Management Professionals - AI Residency (Part-time) Frontier AI Research
Posted 16 hours 55 minutes ago by Mentis AI
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 OpportunityAI is rapidly becoming embedded into core investment workflows - from securities research and portfolio construction to risk management and client reporting. This residency is designed for senior research analysts and portfolio managers who want early, practical exposure to how advanced AI systems are built, evaluated, and improved in the context of long-only fundamental investing.
ResponsibilitiesConstruct expert benchmarks: Build and validate real-world investment cases, securities analyses, and portfolio management frameworks used to evaluate frontier AI systems.
Stress-test model reasoning: Diagnose weaknesses in AI-generated investment analyses, identifying where logic, assumptions, or market intuition fail.
Design frameworks: Translate how institutional investors evaluate securities, construct portfolios, and manage risk into problems that push the limits of AI reasoning.
Compare human vs. machine judgment: Systematically evaluate divergence between professional investment reasoning and AI outputs across equities, fixed income, and multi-asset contexts.
You will be among the first institutional investment professionals to work directly on how frontier AI models reason about public markets and portfolio management.
A distinctive profile for anyone who wants to sit at the intersection of investing and AI - whether at an asset manager, an AI company, or building something themselves.
Hands-on exposure to how AI is reshaping investment workflows, from fundamental research and portfolio construction to client communication and risk attribution.
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
Commitment: 15+ hours/week, flexible scheduling
Location: Remote globally, or in-person if based in London or San Francisco
Compensation: Paid professional engagement
Start date: Immediate / Rolling