JP Morgan
Interview Prep

For finance roles: explain projecting free cash flows (revenue growth, operating margins, working capital, capex), selecting an appropriate discount rate (WACC = cost of equity + cost of debt weighted by capital structure), calculating terminal value (Gordon Growth or exit multiple method), and deriving enterprise value then equity value. Address sensitivity tables for key assumptions.

JPM's work culture is high-intensity — analysts regularly work through the night on live deals. Describe the deadline, the stakes (a board presentation, a regulatory filing, a live transaction), how you managed your own accuracy under pressure, how you prioritized, and what you delivered. Show composure and reliability.

For tech roles at JPM, financial regulation (Basel III, Dodd-Frank, MiFID II, CCAR) intersects with engineering decisions constantly. Walk through the compliance requirement, how it constrained your technical design, what you built to satisfy it, and how you ensured ongoing auditability. Show you can translate regulatory language into engineering requirements.

Risk management is foundational at JPM. Describe the risk (technical, financial, operational, reputational), how you identified it when others hadn't, how you assessed its severity and likelihood, what you did to escalate or mitigate it, and the outcome. Show systematic risk thinking.

JPM is a massive organization where projects require lawyers, quants, engineers, and operations specialists to work together. Describe the cross-functional project, the communication barriers (different vocabularies, different priorities, different risk tolerances), and the specific things you did to bridge them and deliver.

JPM expects commercial awareness and markets knowledge from all roles. Describe the event (interest rate change, credit spread widening, regulatory change, market volatility), how it affected your project or business, what decisions it forced, and how you and your team adapted.

JPM operates at the interface of finance and technology, and both sides of that equation regularly need to communicate with the other. Describe the audience, the complexity of the information, how you translated it (analogies, visuals, simplified frameworks), and whether the communication led to a good decision.

For quant and tech roles, correctness of financial models is non-negotiable — model errors at JPM's scale can lose billions. Walk through the system or model, the specific correctness challenges, your validation strategy (backtesting, stress testing, independent review, comparison to established benchmarks), and how you maintained confidence in its outputs over time.