Quant Trading Intern

Status
Intern at
Group/Division/Type
Generalist
City
Chicago
Interviewed
November 2018
Overall experience
Positive
Difficulty
Average

General Interview Information

Outcome
No Offer
Interview Source
College / University / On Campus Recruiting
Length of Process
1-2 months

Interview Details

What did the interview consist of?
Phone Interview
1 on 1 Interview
Skills Test
Background Check
Please describe the interview / hiring process.
Began initial phone screen consisting of basic probability and coding questions followed by a multiple short essays test on derivatives. This was followed by the on-site which consisted of four consecutive 1-1 interviews.
What were the most difficult or unexpected interview questions asked?
One of the more memorable questions I got asked went as follows: I strap you to the chair, pull out a standard six shooter revolver and load in two consecutive rounds. I spin, point the gun at you, pull the trigger, and we both hear a *click*. I'm going to pull the trigger again, but before I do so you have the option of whether you wish for me to spin again. If your goal is to maximize your odds of survival, do you opt to have me spin the revolver again, and what led to you making that decision.
Additionally they asked quite a few questions pertaining to ones coding ability, such as how to handle basic python libraries for data analysis, so don't have any of that on your resume unless you're ready to get drilled on it.
How did you answer each of these questions (please be specific)?
To the general python questions I gave general answers to essentially validate that I wasn't bluffing about my experience with common python packages, in addition to an explanation as to the context in which I've used them prior. To answer the brain teaser, I reasoned out that spinning the barrel again puts me at a 1/3 chance of being shot. Alternatively, if I don't spin again because I wasn't struck by the first chamber, that one is removed from the sample space, and additionally it is impossible for me to be hit with the second bullet, as I would've needed to already be hit with the first, making my odds of being shot 1/4. As such, I opted for it to not be spun again.

Overall Company Rankings

  • 5 Stars
  • 4 Stars
  • 3 Stars
  • 2 Stars
  • 1 Star
Overall Ranking

Overall Ranking is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.

The number you see in the middle of the donut 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 reviews). 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.

4.0
Career Advancement Opportunities

Career Advancement Opportunities is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.

The number you see in the middle of the donut 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 reviews). 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.

3.8
Senior Management

Senior Management is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.

The number you see in the middle of the donut 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 reviews). 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.

3.8

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