Point72 Interview Questions
23 Questions
Updated 2026
Quant Interview Questions
23 questions
1
What is the difference between deep Q-learning and Q-learning?
Quantitative Researcher Interview
2
How would you calculate a covariance matrix when the underlying data is too large to fit into memory?
Quantitative Researcher Interview
3
Explain bias and variance. Which models tend to have higher bias versus higher variance?
Data Scientist Interview
4
How would you create a predictive model of y given x, where x is a continuous variable between 0 and 10 and is linear on the integers? Follow-up: If you model this using 10 separate regressions, what would be the effect? If you average the regressions at the integers, would these be biased estimates?
Data Scientist Interview
5
Can you explain logistic regression to someone who is not familiar with it?
Data Scientist Interview
6
How do the estimated beta coefficients and t-statistics change in Ordinary Least Squares (OLS) regression if each sample in the dataset is duplicated?
Quantitative Analyst Interview
7
Given an array of integers, find the contiguous subarray with the largest sum and return the sum.
Data Engineer Interview
8
Given an array of dates in string format (e.g., '20050301'), write a function that returns the year and quarter for each date (e.g., '20050301' => '2005Q1').
Quantitative Analyst Interview
9
Design and implement a low-latency trading system that incorporates order latency as a parameter for backtesting strategies.
Software Engineer Interview
10
What is the event loop?
Software Engineer Interview
11
Can a tuple or a list be used as a key in a dictionary?
Data Scientist Interview
12
What is the time and space complexity of finding the most profitable buy and sell dates given stock price data, if you are allowed only one buying and one selling transaction?
Quantitative Researcher Interview
13
How much should you be willing to pay to play the following game? You start with $1. You flip a fair coin. If it lands on heads, you double your winnings and flip again. If it lands on tails, the game is over and you collect the money you've won. You continue playing until you land on tails.
Data Scientist Interview
14
What are the assumptions of linear regression, and what are the differences between linear regression and logistic regression?
Data Analyst Interview
15
In a dice game, you roll a fair six-sided die once. After seeing the result, you may choose to either accept the result or roll the die a second time. What is the expected value of the result if you play optimally?
Quantitative Researcher Interview
16
What happens to the F-statistic and t-statistic if you replicate the data in a dataset?
Data Scientist Interview
17
You roll a 100-sided die and bet on a number; if you guess correctly, you win an amount equal to the number you bet on. What is your optimal betting strategy?
Quantitative Researcher Interview
18
Given a table containing names and ages with some duplicate entries, how would you return all duplicate rows using SQL?
Data Scientist Interview
19
What are the assumptions required for linear regression?
Data Scientist Interview
20
A college maintains department information in one table and student information in another table. Write a SQL query to display the number of students by major in descending order.
Quantitative Analyst Interview
21
What are the assumptions of linear regression?
Data Scientist Interview
22
In the secretary problem, given n independent and identically distributed random variables drawn from a uniform distribution, what is the optimal strategy to maximize the expected return when you can only select the first variable that meets your criteria? Describe the method for finding this strategy.
Quantitative Researcher Interview
23
How would you remove an element from a linked list using an iterator?
Quantitative Analyst Interview
Disclaimer: These questions do not represent Point72 in any way. They are sourced from a combination of places including interviewees, and public sources. They may not be accurate or reflective of the company's actual interview process.