Deloitte Quantitative Analyst Interview Guide

We've seen Deloitte's quantitative interviews operate less like a structured assessment and more like a forensic review of your background. The candidate here described a first round that stayed close to their CV before escalating sharply — the follow-up went skill by skill through their resume, pressing on option pricing, Monte Carlo simulation, and risk measures in real depth. That escalation pattern is telling: Deloitte senior managers appear to use the first conversation to identify where to probe hardest in the second. Anything you list as a competency becomes fair game for a detailed technical cross-examination.

A recurring theme in this experience is the emphasis on practical modeling judgment rather than definitional knowledge. The mining-company valuation question — how do you value a business with no terminal value, projected all the way to end of reserves, and how do you forecast cash cost — is not a question you can answer with a framework you memorized. It requires understanding the actual economics of the asset. Similarly, the Monte Carlo question about simulation count and scaling behavior was designed to separate candidates who have run simulations from those who have only read about them. These are the moments where surface-level preparation collapses.

The unexpected coding prompt at the end of an otherwise finance-heavy interview is worth flagging too. It suggests Deloitte wants to confirm analytical range, not just domain expertise. The clearest lesson from this account: the candidate's own assessment was that overstating experience on the CV was the decisive mistake. When interviewers are this methodical, any gap between what's written and what you can actually defend tends to surface quickly.