About The Position
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. 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.
Requirements
- 3–8 years of experience in institutional real estate private equity (e.g. Blackstone Real Estate, Brookfield Asset Management, Starwood Capital, Lone Star Funds)
- Associate or VP level in acquisitions or asset management
- Strong real estate financial modeling skills: DCF, waterfall structures, development proformas, and return attribution
- Experience across multiple asset classes (multifamily, office, industrial, hospitality, retail) and risk profiles (core, value-add, opportunistic)
- Familiarity with debt structuring, joint venture documentation, and LP reporting
- Genuine intellectual curiosity about the application of AI in real estate investment
Responsibilities
- Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.
- Systematically evaluate divergence between professional real estate judgment and AI outputs across asset classes, risk profiles, and fund structures.
- Translate how REPE professionals evaluate acquisitions, structure transactions, and manage assets across the investment lifecycle into problems that push the limits of AI reasoning.
- Build and validate real-world underwriting models, return analyses, and investment cases used to evaluate frontier AI systems.
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
Education Level
No Education Listed
