Trexquant Interview Questions

7 total interview insight submissions
Interview Experience (46%)

The Interview Experience is a score from 1 star (very negative) to 5 stars (very positive) generated based on the Interview Insights at this company.

The number you see in the middle of the doughnut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.

The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few interview insights). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.

3.1
  • Very Negative
  • Negative
  • Neutral
  • Positive
  • Very Positive
Interview Difficulty (99%)

The Interview Difficulty is a score ranging from very difficult (red) to very easy (green) generated based on the Interview Insights at this company.

The number you see in the middle of the doughnut pie chart is the simple average of these scores. The higher the number, the more difficult the interviews on average. If you hover over the various sections of the doughnut, you will see the % breakdown of each score given.

The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few interview insights). Simply put, as a company gets more insights, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire data set.

3.7
  • Very Easy
  • Easy
  • Average
  • Difficult
  • Very Difficult

Interviews at Trexquant

Filter by:
Year
Job Title
Group/Division
Location
Experience
Difficulty
Summer Associate Intern
Year 2024
Job Title Summer Associate Intern
Group/Division Mergers and Acquisitions
Location New York
Experience
Negative
Difficulty
Difficult
Student / Prospective Monkey
Year 2025
Job Title Student / Prospective Monkey
Group/Division Quantitative Research
Location New York
Experience
Negative
Difficulty
Average
Intern
Year 2023
Job Title Intern
Group/Division Equities
Location Gurugram
Experience
Neutral
Difficulty
Average
1st Year Analyst
Year 2024
Job Title 1st Year Analyst
Group/Division Quantitative Research
Location Stamford
Experience
Neutral
Difficulty
Average
Quant
Year 2024
Job Title Quant
Group/Division Quantitative Research
Location Gurugram, New Delhi
Experience
Neutral
Difficulty
Very Difficult
Student / Prospective Monkey
Year 2022
Job Title Student / Prospective Monkey
Group/Division N/A
Location berkeley
Experience
Very Positive
Difficulty
Difficult
Intern
Year 2019
Job Title Intern
Group/Division Quantitative Research
Location Singapore
Experience
Positive
Difficulty
Difficult

Interview Questions & Answers - Trexquant Examples

Summer Analyst – Investment Banking Division Interview - Mergers and Acquisitions

Anonymous interview candidate in New York
Interviewed: October 2024
Outcome
No Offer
Interview Source
College / University / On Campus Recruiting
Length of Process
2-3 months
Application
Phone Interview
1 on 1 Interview
Group Interview
Skills Test
Interview
First round was a 20-minute phone screen with a second-year analyst. Standard fit questions (“Walk me through your resume,” “Why IB?”) and one quick valuation question (“How would you value a private company with no comparables?”).

Two days later, I was invited to their NYC office for Superday. The day started with a 30-minute welcome session by HR, followed by two back-to-back 1:1 interviews with VPs—one focused on technicals (walk me through a DCF, explain WACC, how does $10 depreciation affect the three statements), the other on behavioral and deal experience from my resume.

The group case involved analyzing a mock acquisition target in the renewable energy space. We had 45 minutes to build a high-level pitch deck (no slides, just verbal presentation) and present to a director. Team dynamics were observed closely—someone who dominated the discussion got cut, while collaborative candidates advanced.

Final round included a 30-minute Excel test: build a simple LBO model with given assumptions (entry/exit multiples, debt terms, etc.). Had to calculate IRR and MOIC.

Advice: Know your LBO mechanics cold. They care less about perfect Excel formatting and more about logical structure and speed. Also, ask thoughtful questions about deal flow—interviewers lit up when I referenced a recent transaction they’d worked on (I’d done my homework via press releases).

Why did you choose to decline the offer? (optional)
Accepted a competing offer at a bulge bracket with better long-term mobility into private equity.
Interview Questions
"Walk me through how a $10 increase in depreciation flows through the three financial statements, assuming a 20% tax rate."

Quantitative Research New Grad Interview - Quantitative Research

Anonymous interview candidate in New York
Interviewed: March 2025
Outcome
No Offer
Interview Source
Employee Referral
Length of Process
1-2 months
Application
Phone Interview
1 on 1 Interview
Group Interview
Interview
1. Needed to solve the classic hangman problem as first screening.
2. Once I passed the screening I was contacted by recruiter. I had my first interview with the same HR which was a mess. She came late plus didnt let me ask any question and would interrupt me saying that it doesnt matter right now ask once you pass the next rounds.
3. Then after 2 weeks I was contacted back for the first technical round. I nailed it honestly. There was a medium level leetcode style problem and a few classic statistical problems.
4. Same day I received the invitation for final round. But suddenly after 2 hours of getting the link the HR called me saying that we changed our mind and we dont want to move further with you. I was also told that I cannot apply to any new grad roles in this cycle.
Interview Questions
There were no difficult questions but they really wanted to know everything about classic machine learning.

GAR Interview - Equities

Anonymous employee in Gurugram
Interviewed: February 2023
Outcome
Accepted Offer
Interview Source
Applied Online
Length of Process
Less than 1 month
Application
Interview
1 assessment on hangman gameplay, then 1 quick Hr interview, final technical interview explaining hangman strategy.
Interview Questions
how you will create an indicator for signal based on the some information given.

Quant Researcher Interview - Quantitative Research

Anonymous interview candidate in Stamford
Interviewed: November 2024
Outcome
No Offer
Interview Source
Applied Online
Length of Process
1-2 months
Application
Phone Interview
Interview
did some stats, internship project, live coding questions and some open ended questions. Overall standard quant interview
Interview Questions
why you used lasso but not ridge to track the S&P 500 return?

Quant Researcher Interview - Quantitative Research

Anonymous interview candidate in Gurugram, New Delhi
Interviewed: August 2024
Outcome
No Offer
Interview Source
Applied Online
Length of Process
1-2 months
Application
Phone Interview
1 on 1 Interview
Skills Test
Background Check
Interview
First, they ask you to submit a ML-based solution to the hangman game. If you get ~55-60% winrate on it, you get to the next stage.
Secondly, the HR interview. It is 80% behavioral stuff and a coding problem at the end (leetcode medium). After this, your internal application is forwarded to teams, which gets a response by anywhere a vacancy is available.
Thirdly, you have to interview with the team lead of the team you get selected in. The interview is very broad (hangman solution, finance knowledge, coding, ML/DL basics, anything relevant to your resume can be asked). I could not make it past this stage.
Fourthly, interview with the CEO, Tyger. he asks you basic knowledge and gets to know you personally, if you made it past all the previous stages, you'll do good on this one. The questions are supposed to be basic and also not much of implementation involved.
Interview Questions
Derive the linear regression formula and the loss function in the matrix form, and code it from scratch.

global alpha researcher Interview

Anonymous interview candidate in berkeley
Interviewed: May 2022
Outcome
No Offer
Interview Source
Applied Online
Length of Process
Less than 1 month
Application
IQ / Intelligence Test
Interview
online technical examination, play hangman game by revising the coding part. to achieve the good accuracy
Interview Questions
just about the coding part

Alpha researcher Interview - Quantitative Research

Anonymous employee in
Interviewed: January 2019
Outcome
Accepted Offer
Interview Source
Applied Online
Length of Process
Less than 1 month
Application
Phone Interview
IQ / Intelligence Test
Other
Interview
Online test on programming skills, math, statistics, accounting
1- week project, design an algo to play hangman game,
phone interview, about the online test, resume
phone interview, about the project, and brainteasers
Interview Questions
Then hangman game is quite challenging.
You are given a dictionary consisting of 200k words, some of which are 'fake', like 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', or 'bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb'.
You are given jupyter notebook file, containing a framework of your algo, with a trivial solution.
You have only one chance to submit and test your algo on 1000 words, these 1000 words are not in the provided dictionary.
But you can have 100 test out-of-sample.
video
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