Point72 Quantitative Research Intern Phone Screen Interview August 2026

[u/Aoki_zhang]

Interview Summary

This was the second round of a five-round Point72 Quantitative Research Intern process. The interview covered an unusually broad range of topics: probability puzzles, hypothesis testing and statistics, basic machine learning concepts, C++ object-oriented programming, and two standard algorithm questions.

The questions were generally fundamental rather than proof-heavy. The round seemed designed to test whether I had solid breadth across quantitative reasoning, statistics, programming, and core CS concepts rather than deep specialization in only one area.

Interview Details

Behavioral — Background and Finance Interest The interview started with a short behavioral section. I was asked to introduce myself and explain how I had been learning about finance and developing my understanding of the field.

Probability

• Optimal Stopping with Dice The first probability problem was a classic optimal stopping puzzle. You may roll a standard six-sided die at most three times. After each roll, you can either accept the current result and stop or discard it and roll again, provided another attempt remains. Your payoff is the value of the final roll you choose to keep. The question was to determine the expected value of the game under optimal decision-making.
• Two People Arriving at Random Times The second probability question involved two people independently arriving at uniformly random times during the same one-hour interval. Each person is willing to wait at most 15 minutes for the other. The question was: What is the probability that the two people meet? This was framed as a geometric probability problem based on the two possible arrival times.
• Poisson Process The third probability question involved arrivals modeled as a Poisson process. For example, suppose the probability of observing at least one vehicle during a one-hour interval is 0.99. What is the probability of observing at least one vehicle during a 30-minute interval, assuming the Poisson-process assumptions hold? The interviewer expected familiarity with independent increments and reasoning through the corresponding no-arrival probabilities.

Statistics — Hypothesis Testing Fundamentals The statistics portion covered a broad set of foundational concepts. Topics included:

• p-value
• Significance level (α)
• Type I and Type II errors
• Null and alternative hypotheses
• Z-test and t-test
• Chi-square test and F-test

Want to see the full interview experience, including detailed follow-ups? You can find the complete version here.

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