Quantitative Strategist

Status
Vice President at
Group/Division/Type
Equity Capital Markets
City
NA
Interviewed
August 2020
Overall experience
Neutral
Difficulty
Easy

General Interview Information

Outcome
No Offer
Interview Source
Applied Online
Length of Process
Less than 1 month

Interview Details

What did the interview consist of?
Phone Interview
1 on 1 Interview
Please describe the interview / hiring process.
Applied online for this VP level position and got 4 rounds of interviews within a month. The first 3 rounds are with ED and the last round with MD. All questions based on resume nothing like difficult technical questions. Their team both develop algo trading strategy and execute them so you need to know both Python and Java well. Didn't get the offer because I wasn't senior enough and they have someone already being a VP from another bank.
What were the most difficult or unexpected interview questions asked?
What is your biggest weakness

What if your algo suddenly predicts something contrary to what it did previously (change of direction). How could you explain this to your clients.
How did you answer each of these questions (please be specific)?
For the first one I tried to say something like I'm often times too selfless which actually causes too much pressure because I always try to fulfill the promise I make to others to make them feel better. Alwasy taking others' problems as my own and devote my time and effort to it. Can't really say no to people and that's not a good thing.

It's a open question so I try to analyze the cause of this issue in different cases.

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.

4.0
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.

4.1

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Other Interview Data

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Quantitative Strategist (Vice President)
Morgan Stanley, NA, 2020

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