About The Position
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 corporate, SME and retail banking. Design frameworks: Translate how commercial banks access clients, structure loans and credit facilities, manage balance sheet and 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 commerical-banking workflows, from client onboarding and credit analysis to relationship management and risk monitoring. You will be among the first institutional investment professionals to work directly on how frontier AI models reason about borrowers, transactions and balance-sheet risk across corporate, SME and retail banking.
Requirements
- 4+ years of experience at a major long-only institutional manager (e.g. JPMorgan Chase, Bank of America, Wells Fargo, Citibank, U.S Bank, Capital One, PNC Bank, Goldman Sachs, Truist Bank, TD Bank)
- Senior Credit/Risk Analyst, or Product Manager
- Deep expertise in corporate, SME, or retail banking, including credit analysis, lending products, and balance‑sheet / risk management.
- Experience conducting borrower and industry analysis, writing credit memos and client materials, and engaging directly with senior client stakeholders.
- Familiarity with client reporting, portfolio and risk monitoring, and internal credit or risk‑policy constraints.
- Genuine intellectual curiosity about the application of AI in institutional banking and risk management.
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 investment reasoning and AI outputs across corporate, SME and retail banking.
- Translate how commercial banks access clients, structure loans and credit facilities, manage balance sheet and risk into problems that push the limits of AI reasoning.
- Build and validate real-world credit cases, client-coverage systems and portfolio management frameworks used to evaluate frontier AI systems.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Part-time
Career Level
Mid Level
Education Level
No Education Listed
