RBC quant-track interviews reported by candidates combine Python/SQL screens, probability and finance math, markets questions, and behavioral rounds, sometimes ending in back-to-back superday calls.
$175K
Avg. Base Comp
$260K
Avg. Total Comp
2-6 rounds
Typical Rounds
Not reported
Process Length
The clearest quant-specific report describes a Quantitative Analyst loop with a first round split into thirty minutes of technical questions and thirty minutes of behavioral. The technical half leaned on contest-style statistics and combinatorics, including a Bayes' rule question. A second, purely technical round ran at least an hour and moved into interest rate risk and what to watch for when building a factor model. That candidate did not receive an offer.
Other quant-adjacent reports point to a different mix. A Markets Quantitative Summer Analyst candidate started with a Python and SQL assessment, then a phone screen with market questions, brain teasers and mental math, then three back-to-back final calls that were mostly behavioral and market-focused, including a question on who RBC's CEO is. A Quantitative Technology Services candidate reported behavioral and computer science concept questions with no live coding, tailored to the resume, and received an offer.
Several reports from neighboring RBC capital markets roles, such as trading and banking, show markets knowledge and fit carrying real weight. Those candidates mention current prices, rates, a defended trade idea and a clear answer for why RBC. Treat these as signals for markets-facing quant seats, not guaranteed quant questions.
For preparation, drill probability, Bayesian reasoning and risk basics, keep Python and SQL sharp for the screen, and follow current markets so you can speak to them in each conversation.
Synthesized from 15 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates for markets-quant seats report starting with a Codility-style assessment mixing Python and SQL at a moderate level. One candidate described it as a screen rather than the main event. It may vary by team, and one technology-services candidate reported no live coding at all.
Candidates report a roughly 30-minute call with an analyst or trader mixing market questions, brain teasers, mental math and behavioral topics such as why RBC and why the role. Expect questions on current prices or market views, though the exact content likely depends on the desk.
One Quantitative Analyst candidate reported a one-hour first round split evenly between technical and behavioral questions. The technical half was contest-math style, covering statistics, combinatorics and Bayes' rule. Interviewers were described as friendly and conversational throughout.
The same candidate reported a second round of at least an hour that was purely technical. It covered interest rate risk and the issues to look for when constructing a factor model. This is a single report, so other quant teams may weight different topics, such as CS concepts or resume-based projects.
Several markets-oriented candidates describe a final stage of about three 30-minute interviews back to back, with MDs, desk heads or team members. Candidates report behavioral and market questions, sometimes a trade idea or technical walk-through. Outcomes were mixed, with some candidates receiving offers and others not.
