Investment Banking - AI Research (MBA Intern)

Investment Banking - AI Research (MBA Intern) The role asks for someone with real deal experience in banking, private equity, venture capital, hedge funds or equity research who can turn that background into hard financial problems for AI systems to attempt. A strong candidate brings hands on modeling skills across valuation, buyouts and transactions, plus the judgment to build realistic scenarios with messy or conflicting data. The work also calls for writing clear solutions and scoring frameworks so AI output can be judged against professional finance standards. How it fits the AI era This is a role built around testing AI rather than doing deals. The person spends time designing finance problems, reviewing how models reason through them, and documenting where the reasoning breaks down. Human judgment stays central because deciding what counts as a sound financial conclusion still depends on seasoned professional experience. How it builds AI experience The work offers direct exposure to how frontier AI systems handle valuation, filings and investment analysis, and to the methods used to evaluate them. That builds practical skill in benchmarking AI against expert standards, which fits a company turning raw data and spreadsheets into analysis and decks. Someone preparing for this could practice writing finance problems with known answers and comparing model output against them. Worth showing DCF and LBO SEC filing analysis This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role. About Julius AI workspace that transforms raw data and spreadsheets into analysis, interactive visualizations, and slide decks, per the company.