Squarepoint New Grad Quantitative Researcher Interview Experience — Newton's Method, Decision Trees and a Coin Puzzle

Squarepoint·Quantitative Researcher·Nov 2026
Technical ScreenNew Gradeasy

I'm a worker from another industry. While preparing I felt I was too slow to be doing quant, so I went back to my old line of work. The interviewer was pretty nice and said the work-life balance and the atmosphere are both good. Coming here to give back to the community.

(1) HackerRank: find a root to a given tolerance. I used Newton's method, and the interviewer followed up on how to implement the stopping rule so that it meets the given tol. Maybe because I wrote it too slowly, they only asked this one coding question.

(2) How is a decision tree implemented (explain it in mathematical language), what are its pros and cons, what is the benefit of a random forest, and what does xgb offer on top of that?

(3) There are 1000 coins in a jar, 999 fair and 1 double-headed. I randomly take 10 coins and toss them, and all 10 come up heads. Find the probability that the double-headed coin was among the ones I picked. Just work it out with conditional probability.

The title was junior QR, meant for new grads. I felt it was easier than all the questions I had seen before. Good luck with the job search, everyone!

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Curated and edited by PracHub

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Interview at a glance

Company
Squarepoint
Role
Quantitative Researcher
Level
New Grad
Rounds
Technical Screen
Difficulty
easy
Interview date
Nov 2026
Questions from this interview
3 questions

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