First question: Weather report says there is a 30% chance of rain on Saturday and 30% chance of rain on Sunday. What can you say about the probability that it rains on at least one of the days?
Quantitative Researcher Intern Interview Questions
4,870 quantitative researcher intern interview questions shared by candidates
Coupon collector problem.
About coin tossing game
Easy conditional probability question
What is the expected value of a 3d6 roll?
Throw a die with 6 faces two times. You may guess whether their sum is even. If you guess right, you win one dollar. What is your expected earn?
A mouse can move one room over within three adjacent rooms in a row each day. You can only check one room. What is the expected number of days it will take to find the mouse? Then, same question but rooms are in a triangle, meaning the mouse can go to either of the two other rooms it is not in.
What strategy would you employ if given the chance to play this game: You receive the amount of dollars shown on the face of a die. You may re-roll the die at most 3 times, but it costs $0.7 to reroll.
You pick n points independently and uniformly at random on the circumference of a circle. 1. What is the probability P(n) that all n points lie within some semicircle of the circle? 2. Simplify your answer to a closed‐form in terms of n.
1. Initial Phone/Zoom Screen • Mental math: Fast, accurate calculations without a calculator (e.g., expected values, probability puzzles, number manipulation). • Logic and probability puzzles: Think of problems involving coins, dice, cards, or Bayesian reasoning. It’s less about prior knowledge and more about thinking out loud and asking the right questions. • Communication: They want to see how clearly and precisely you explain your thought process. 2. Follow-up Technical Interviews • More in-depth problems: These might be longer or more open-ended than the initial screen. They often involve iterating on a solution as the interviewer adds constraints. • Game theory, probability, statistics, estimation questions. • Programming (if applicable): For quant research roles, there might be some Python or OCaml-style thinking, but usually less coding and more algorithmic logic.
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