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 banking judgment and AI outputs across M&A, ECM, DCM, and leveraged finance contexts.
Design frameworks: Translate how senior bankers evaluate transactions, structure deals, and advise clients through origination, execution, and close into problems that push the limits of AI reasoning.
Construct expert benchmarks: Build and validate real-world transaction analyses, valuation frameworks, and deal materials used to evaluate frontier AI systems
Hands-on exposure to how AI is reshaping deal workflows, from pitching and origination through financial modeling, fairness opinions, and transaction close.
You will be among the first investment banking professionals to work directly on how frontier AI models reason about transaction structuring, valuation, and capital markets execution.
3–7 years of experience in investment banking or capital markets at a bulge bracket or elite boutique (e.g. Goldman Sachs, Morgan Stanley, J.P. Morgan, Bank of America, Citi, Barclays, UBS, Deutsche Bank, Wells Fargo, Evercore, Moelis, Centerview, Lazard, Jefferies)
Associate, VP, or Director level across M&A, industry coverage, ECM/DCM, leveraged finance, or syndicate
Deep expertise in at least one of: M&A deal structuring and valuation, equity or debt capital markets execution, sector-specific coverage, or syndicate/book-running
Strong financial modeling skills (including LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials
Ability to articulate investment banking judgment clearly and precisely in writing
Genuine intellectual curiosity about the application of AI in financial services
Commitment: 15+ hours/week, flexible scheduling
Location: Remote globally
Compensation: Hourly rate depending on experience
Start date: Immediate / Rolling