Candidates for EY's Quantitative Analyst role describe an online assessment, a recruiter or HR screen, and technical rounds on probability, statistics, modeling and backtesting, with behavioral questions in some processes.
$171K
Avg. Base Comp
$215K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
EY quantitative analyst candidates describe processes that differ from person to person, but the technical content is fairly consistent: probability, statistics and your own past work. One candidate had two technical rounds, with no behavioral section in the first. The first round asked them to pick resume projects and explain data handling, model choice, coefficient meaning and backtesting, with some stochastic calculus. The second round covered probability, statistics and an option pricing question about barrier options.
Another candidate reports a discussion centered on evaluating a strategy: which metrics to inspect in a backtest, how to judge robustness and how to spot overfitting. A third describes an online assessment mixing coding with math. Technical rounds followed, including a conceptual question on whether variables can have negative correlation, and then behavioral interviews. One candidate was asked Python and SQL questions, including the difference between a set and a frozenset, plus statistics at an actuarial level. Another had a lighter face-to-face conversation covering their CV, basic SQL and a salary expectation question.
One reported process looked more like a super day, with an assessment, back-to-back behavioral and case interviews, and a live business case on teamwork and leadership. That makes the role's mix worth preparing for on both sides. Be ready to defend each resume model end to end, review core probability and statistics, and keep Python and SQL basics sharp. Also prepare collaboration stories and practice thinking aloud through a case.
Synthesized from 13 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Several candidates report starting with an assessment. One describes logical reasoning, another a mix of coding and probability or statistics questions, and another an analytical test before a face-to-face meeting. The exact format likely varies by office and team, so prepare for both math and light programming.
Some candidates report an early conversation about their background, why they want the role and future plans. One was asked about salary expectations directly. It is typically a conversational step, but you should still have a concise, role-relevant summary of your experience ready.
Candidates report technical rounds that dig into resume projects. Topics include data access, model choice, what coefficients mean, how results were backtested, and how to judge robustness or overfitting. One candidate also reports some stochastic calculus. Expect to explain your own work in detail rather than recite definitions.
Reports include probability and statistics questions, a barrier option definition, a question on whether variables can have negative correlation, and actuarial-style statistics. Python and SQL basics, such as set versus frozenset, also came up for one candidate. Prepare to answer these quickly and clearly.
Some candidates report behavioral interviews, scenario questions or a live business case. One was asked about working with someone with a different leadership style, and another about handling pressure. This stage may not appear in every process, since one candidate had only two technical rounds.
