JP Morgan Analyst Mock Interview

Tell me about a time you had to analyze incomplete or messy market/customer data to produce a decision-ready recommendation—what assumptions did you make, how did you validate your work, and what was the outcome?

JP Morgan serves clients across investment banking, markets, and asset management—describe how you would build a quick, defensible view of a company’s credit and liquidity risk for an internal stakeholder, including what data you’d prioritize and how you’d quantify key drivers.

Walk me through how you would evaluate the impact of a rate shock (e.g., a sudden move in the yield curve) on a portfolio’s risk metrics (such as duration/convexity, DV01, or VaR). What tools or calculations would you use, and how would you communicate the results to someone non-quantitative?

A senior analyst asks you to sanity-check an existing valuation model used for client reporting, but you suspect the assumptions may be outdated. What specific steps would you take to test the model, identify the root cause, and propose an improved approach while maintaining strict controls and documentation?

Imagine you’re supporting a client initiative during a volatile market day at JP Morgan and you notice conflicting signals between market data feeds and your internal pricing/risk outputs. What would you do in the first 30 minutes to diagnose the discrepancy, escalate appropriately, and keep the client deliverable on track?