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The Interview Process
Math & Coding Test
A rigorous online assessment testing advanced probability, calculus, linear algebra, and Python/C++ programming.
Technical Phone Screen
Heavy focus on stochastic calculus, time-series analysis, and algorithmic trading concepts.
Superday
Four to five interviews with senior quants. Expect brutal brainteasers, whiteboard derivations of pricing models, and questions regarding the specific regulatory constraints (e.g., CCAR) of working at a massive bank.
Real J.P. Morgan Interview Questions
Practice these exact questions faced by previous Quantitative Researcher / Analyst candidates.
1Derive the formula for the variance of the sum of two correlated random variables. Now, explain how this concept applies to portfolio risk optimization. (Probability / Finance)
2You are tasked with building a predictive model for credit default risk. The dataset is wildly imbalanced (99.9% non-default). Walk me through your exact modeling and evaluation strategy. (Applied ML / Risk)
3Explain the concept of 'Value at Risk' (VaR). What are its fundamental limitations during a massive market shock like the 2008 financial crisis? (Risk Management)
4Write a C++ function to invert a large, sparse matrix. What specific optimization techniques would you use to minimize cache misses? (Coding / Performance)
5Tell me about a time you found a mathematical error in a colleague's model that was already trading live. How did you handle the situation organizationally? (Integrity / Collaboration)
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