Quant Mock Interview Guide
How to run useful quant mock interviews, choose prompts, simulate pressure, score performance, and convert feedback into practice.
Candidates preparing for quant interviews with peers, mentors, or self-recorded mocks.
Choose prompts by purpose
A mock should test something specific: probability setup, expected value decisions, market making communication, coding clarity, or mixed recognition. Random prompts are fine occasionally, but targeted mocks produce cleaner feedback.
Simulate the live constraints
Use a real timer, speak aloud, and allow follow-up questions. If the mock is for market making, include updates and inventory. If it is for coding, include examples and edge cases. The point is to practice the live interaction, not just solve alone.
Score decisions, not just answers
Track model setup, method choice, arithmetic, communication, hint usage, and recovery. A correct final number with a hidden broken model is not a clean pass. A small arithmetic error with clear recovery may be a smaller issue.
Concrete mock format
A 45-minute mock can include one probability prompt, one expected value or game prompt, one estimation or mental math prompt, and a five-minute review. End with exactly two next actions so feedback becomes practice rather than notes.
Review immediately
Review while the decisions are still fresh. Write down the first point where the answer went off track, then schedule one repair block. If every mock produces ten action items, pick the highest-impact two.
Common mistakes
Candidates often take mocks too early, take too many, or treat them as pass-fail events. A mock is a diagnostic under pressure. Its value is the repair plan that follows.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.