Tower Research Capital Interview Questions

11 total interview insight submissions
Interview Experience (76%)

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.

3.5
  • 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.

3.6
  • Very Easy
  • Easy
  • Average
  • Difficult
  • Very Difficult
% Interns - FT Offers (58%)

The % of Interns Getting a Full Time Offer chart is meant to provide a realistic estimate of the hiring practices of the company based on the reviews 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 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 reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to the simple company average and away from the average of the entire data set.

43%
  • 0%
  • 10%
  • 20%
  • 30%
  • 40%
  • 50%
  • 60%
  • 70%
  • 80%
  • 90%
  • 100%

Interviews at Tower Research Capital

Filter by:
Year
Job Title
Group/Division
Location
Experience
Difficulty
Quant
Year 2019
Job Title Quant
Group/Division Foreign Exchange FX
Location London
Experience
Neutral
Difficulty
Difficult
Quant
Year 2020
Job Title Quant
Group/Division N/A
Location New York
Experience
Neutral
Difficulty
Difficult
1st Year Analyst
Year 2019
Job Title 1st Year Analyst
Group/Division Prop Trading
Location New York
Experience
Positive
Difficulty
Average
Student / Prospective Monkey
Year 2019
Job Title Student / Prospective Monkey
Group/Division Quantitative Research
Location New York
Experience
Positive
Difficulty
Difficult
Intern
Year 2018
Job Title Intern
Group/Division Trading
Location Princeton
Experience
Neutral
Difficulty
Difficult
Quant
Year 2015
Job Title Quant
Group/Division Quantitative Research
Location New York
Experience
Positive
Difficulty
Difficult
1st Year Associate
Year 2016
Job Title 1st Year Associate
Group/Division N/A
Location New York
Experience
Neutral
Difficulty
Very Difficult
Quant
Year 2014
Job Title Quant
Group/Division Quantitative Research
Location New York
Experience
Neutral
Difficulty
Average
Trading Assistant
Year 2013
Job Title Trading Assistant
Group/Division Assistant Trader
Location New York
Experience
Positive
Difficulty
Easy
Intern
Year 2012
Job Title Intern
Group/Division
Location New York
Experience
Positive
Difficulty
Difficult

Interview Questions & Answers - Tower Research Capital Examples

Quant Trader Interview - Foreign Exchange FX

Anonymous interview candidate in London
Interviewed: December 2019
Outcome
No Offer
Interview Source
Recruiter
Length of Process
Less than 1 month
Application
Phone Interview
Interview
There were two phone interviews, with dev lead (C++) and a quant. C++ interview was highly unusual, focusing entire discussion over how one would investigate a memory leak. Quant interview was a usual mix of probability and linear algebra.
Interview Questions
How to find what overrides memory in C++?

quant researcher Interview

Anonymous interview candidate in New York
Interviewed: March 2020
Outcome
No Offer
Interview Source
Recruiter
Length of Process
Less than 1 month
Application
Phone Interview
1 on 1 Interview
Interview
First round a 1 on 1 interview with standard stats/prob/CS questions over the phone. Second round requires a full day of one on one interviews with every member of the team.
Interview Questions
Almost every question is not simple, they have other variants of the question if you come up with one. Yet it is the one about market micro structure that baffled me because I hadn't done any real market quant research before.

Analyst Interview - Prop Trading

Anonymous interview candidate in New York
Interviewed: September 2019
Outcome
No Offer
Interview Source
Applied Online
Length of Process
1-2 months
Application
Phone Interview
Skills Test
IQ / Intelligence Test
Background Check
Interview
Apply online, followed by screening, and then a phone interview with an analyst/associate. Ton of brain teasers - consists of math, stats, and probability. One basic coding question. After that there's another phone round with a VP consisting of harder questions.
Interview Questions
Fermi estimation questions:
Estimate the surface area of a tennis ball.
Number of Starbucks in NYC?

How would you replicate a fair coin using an unfair coin? Expected number of tosses? Vice versa?

If you three random variables X, Y, Z and you know the relationship between X and Y (say they're dependent), does that tell you anything about X and Z or Y and Z? What if the correlation between X and Y is 0.2 and the correlation between Y and Z is 0.5. What is the range for the correlation of X and Z?

Full Time Interview - Quantitative Research

Anonymous interview candidate in New York
Interviewed: October 2019
Outcome
No Offer
Interview Source
Applied Online
Length of Process
Less than 1 month
Application
Phone Interview
Interview
Had one round of phone interviews. Asked a lot about my research and a couple of technical questions. You get matched up with a specific team within the company and the hiring managers for that team interview to see if you're a good fit.
Interview Questions
Besides asking about background and experience, they asked a few math and algorithms questions. One was an algos question regarding the number of possible orderings of a collection of objects with different weights, where if two objects have a weight that sums up to too large a number, they cannot switch positions. You are given an initial ordering of the objects, and you're asked how many possible orderings can you reach from switching any adjacent ones. Another was a 3d geometry question about the surface distance between points chosen randomly on the surface of a sphere.

quant trader Interview - Trading

Anonymous interview candidate in Princeton
Interviewed: September 2018
Outcome
No Offer
Interview Source
Applied Online
Length of Process
Less than 1 month
Application
Phone Interview
Interview
Primarily technical, which heavily focuses on machine learning/statistics; some algorithm and brain teasers.
Interview Questions
Given a biased coin with probability p, how would you replicate n independent tosses of a fair coin?
How many tosses do you expect to make to achieve it?
Can you give a lower bound on how many tosses you need to do it?
A lower bound better than n?

What are the differences between Lasso and Ridge?
Why does Lasso have an effect of feature selection?
What if instead of minimizing mean squared error we look at mean absolute error?

How do you choose the number of trees in a random forest classifier? Is the more the better?

quant Interview - Quantitative Research

Anonymous interview candidate in New York
Interviewed: October 2015
Outcome
No Offer
Interview Source
Applied Online
Length of Process
Less than 1 month
Application
Phone Interview
Interview
Applied Online. After a couple of weeks, the HR setup a phone call with a quant. Called on time. Very polite and friendly. Questions about machine learning background followed by stats questions and some basic probability puzzles.
Interview Questions
The first round was on hackerrank which had a dozen or so questions - some straightforward, some more numerical followed by a couple of algorithmic problems.
Next round, my background is in machine learning and had listed probabilistic graphical models and recommendation engines on resume. Was asked to explain the structure of the PGMs I was using, had to derive gradient updates for alternating least squares for matrix factorizations. Stats questions about linear regression - assumptions, L1 v/s L2 penalty.

Quantitative Researcher Interview

Anonymous interview candidate in New York
Interviewed: 2016
Outcome
No Offer
Interview Source
Applied Online
Length of Process
1-2 months
Application
Phone Interview
Skills Test
Interview
Applied online. After about 2 weeks I got invited to do a programming challenge online. Then 2 weeks after that I was contacted for a phone interview. Did not move on.
Interview Questions
Online test had 5 problems, a couple dynamic programming and an object oriented programming question. Fairly advanced C++, although I said I have very limited C++ experience on resume and cover letter. I finished all 5 problems but pretty sure I didn't satisfy the time and space complexities they were looking for. I was still contacted for phone interview.
The phone interview first started out with just basic resume based questions. Asked me what I did for PhD. Went pretty deep on programming work. Then three brain teaser/math/probability question. Tough questions and did not get the answer.

Phone interview Interview - Quantitative Research

Anonymous interview candidate in New York
Interviewed: April 2014
Outcome
No Offer
Interview Source
College / University / On Campus Recruiting
Length of Process
Less than 1 month
Application
Phone Interview
Interview
Applied through campus recruitment, and got an email from HR in 2 days. Scheduled a phone interview with a quant in the team a week later. Did not pass this round, and thus have no idea of the next round. Please see the interview question below for more detail about the questions asked.
Interview Questions
First, the interviewer asked me to go through my resume. Since he's not from my research area, it went pretty fast, and he did not ask many questions about my resume. Then he started with a simple probability brainteaser, and I got it correct. Another detailed linear regression questions were asked, including problems about residual, variance and R^2. He also asked a question about independence and correlation. I did not respond fast enough and was too nervous. Afterward, I re-visited these two questions, and found it's quite fundamental and easy to solve.

Assistant Trader Interview - Assistant Trader

Anonymous interview candidate in New York
Interviewed: September 2013
Outcome
No Offer
Interview Source
College / University / On Campus Recruiting
Length of Process
Less than 1 month
Application
Phone Interview
Skills Test
Interview
Dropped off resume on website. HR lady called to set up interview a few days later. The interview went well with basic math questions and fit type questions.
Interview Questions
How many golf balls fit in the empire state building? Explain thought process and detailed solution. Interviewers wanted to see train of thought was not looking for correct answer.

Intern Interview -

Anonymous interview candidate in New York
Interviewed: 2012
Outcome
No Offer
Interview Source
College / University / On Campus Recruiting
Length of Process
Less than 1 month
Application
1 on 1 Interview
Interview
Initial 45-min campus interview - just a couple brainteasers and standard algorithms questions. The phone screen was a real analysis problem, an algorithms question, and a probability question. I was surprised to make it through this phone screen because I had not studied any probability or analysis at the time.
Interview Questions
How many ways can you jump up stairs if you can only jump either 1 or 2 steps?

Answer: Fibonacci sequence.
What is the expected value for rolling a dice?
How do you find two numbers in an array that sum to x?