Candidates describe Deloitte quantitative interviews as finance-heavy, covering valuation, Black-Scholes, VaR and Expected Shortfall, Monte Carlo, and Python or VBA. One candidate reported a six-week process.
$108K
Avg. Base Comp
$130K
Avg. Total Comp
2-3 rounds
Typical Rounds
6 weeks
Process Length
Candidates describe Deloitte quantitative interviews as more finance-theory-driven than a typical coding screen. One candidate was asked to walk through a DCF, explain goodwill and P/E ratios, compare valuation methods by enterprise value, and describe return distributions under Black-Scholes. That candidate also faced a partner conversation that touched on tax and accounting. Another report was dominated by market risk. It covered how VaR is calculated and where it breaks down, historical simulation versus parametric approaches, why Expected Shortfall is considered coherent, and how to validate a rate derivatives pricing model.
Monte Carlo came up in two separate reports, so it is worth knowing beyond the definition. One candidate was asked how many simulations are needed and how accuracy scales with more runs. Another was asked how to check a pricing simulation's robustness. Coding appears in different forms: database manipulation in pandas in one report, Python or VBA in a risk-modeling project in another, and a short date-logic problem in a valuation-analyst interview.
Format varies by report. One Quantitative Analyst candidate described a reasoning test followed by HR, senior and partner conversations over about six weeks. A candidate in a related valuation role described two rounds with senior managers who went line by line through the CV. Only one of the three reports resulted in an offer, and that candidate declined it. The other two candidates were not offered a role. Because the sample is small, treat the topics as examples rather than a fixed syllabus. Be ready to defend every CV claim with real depth.
Synthesized from 3 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
One Quantitative Analyst candidate reports starting with a numerical, verbal and logical reasoning test that felt like a screening filter. Other reports do not mention this step, so it may not apply to every team or location. Applicants should confirm the format with their recruiter.
One candidate describes a relaxed HR conversation about their background, with the interviewers saying it was not an exam. A valuation-analyst candidate instead had a senior-manager round that probed CV projects and ended with a brief regression question. Candidates should expect CV detail to be tested and be ready to explain it.
Candidates report technical rounds on DCF, goodwill, P/E ratios, Black-Scholes return distributions, option pricing and risk measures. One report centered on VaR, Expected Shortfall, model validation and stress testing exotic derivatives. The scope probably depends on the team, so check the role description when choosing what to review.
Candidates report implementation questions rather than a standard algorithm screen. These included database manipulation in pandas, describing Python or VBA in a risk context, Monte Carlo simulation counts and robustness, and a date-logic coding task. Prepare a project you can discuss in detail.
One candidate describes a third round with a partner that felt like a senior-level fit check, with a relaxed tone and some tax and accounting specifics. This was reported by only one candidate, so applicants may or may not encounter a similar final conversation.
