Qube Research & Technologies: Tackling Challenging ML & Coding Questions in 金工类 Intern Interview

Qube Research & Technologies | Quantitative Analyst Intern | Interview Experience

Interview Date: Not specified
Result: Not specified
Difficulty: Not specified

Interview Process

The interview lasted 90 minutes and consisted of 20 multiple-choice questions on statistics and machine learning, along with 3 coding questions. The interview was conducted with the camera on, and overall, the time was barely sufficient to complete all questions.

Technical Questions

  1. Search Words Occurring More Than K Times (Hash Table, String, Sorting)
  2. Build a Generalized Linear Model (Machine Learning, Linear Regression, Data Analysis)
  3. Graph Value Filling (DFS, BFS, Graph)

Tips & Insights

The multiple-choice questions were relatively straightforward, focusing on various statistical tests, goodness of fit, and topics related to linear regression and reinforcement learning. The coding questions included one easy-level LeetCode problem, an easy-level Python modeling question, and one medium to hard-level LeetCode problem.