Joinquant Shanghai Quant Finance Intern Tech Phone Screen Interview Experience
Interview Experience
Company: A Shanghai-based company with a revenue of over 10 billion RMB and a decent reputation. They started by asking questions from my resume, quite in-depth, such as optimizer issues in deep learn
Full Details
Company: A Shanghai-based company with a revenue of over 10 billion RMB and a decent reputation. They started by asking questions from my resume, quite in-depth, such as optimizer issues in deep learning and architecture implementation. Then they asked about my professional knowledge, including the company's financial statements and the main differences between non-banking and banking sectors. They also asked about handling heteroscedasticity, and I didn't answer a small test question well. They also asked a PIL question, which was a bit confusing because I hadn't covered it on my resume. Summary: Regression is very important! Post-interview: I felt I didn't connect well with my mentor; there was a generation gap. So I sent the interview to the interviewer, who was still a very nice person.
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About JoinQuant Interview Reports
This question was reported by a candidate who interviewed at JoinQuant. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.
Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at JoinQuant are the higher-signal extractions to take from this report.
For broader preparation context, the JoinQuant interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.
How To Practice This Type of Question
Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.
Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in JoinQuant reports consistently are the ones worth investing in; one-off niche problems are not.
During Your JoinQuant Round
Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.
The single most predictive failure mode in JoinQuant reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.