Intern - US Equities

Status
Group/Division/Type
Investment Management
City
Seattle
Interviewed
April 2018
Overall experience
Neutral
Difficulty
Average

General Interview Information

Outcome
No Offer
Interview Source
Employee Referral
Length of Process
1-2 months

Interview Details

What did the interview consist of?
Phone Interview
Please describe the interview / hiring process.
The hiring process consisted of multiple phone screens. I had reached out to an alumni who worked at the firm and he forwarded my profile to the recruiter to view.
What were the most difficult or unexpected interview questions asked?
Tell me about yourself?
What is your favorite Excel Function?
What is your favorite stock? Or what stocks have you been following recently?
Can you tell me about a time where you've experienced adversity?
Do you know how to code?
Can you tell me about a time you've done a quantitative project? And can you describe the results of that project?
Tell me about your experience working with XYZ firm in wealth management.
How would your bosses describe you?
What are your personal interests outside of school?
How did you answer each of these questions (please be specific)?
1) I talked about my personal experiences and why I was interested in Russell Investments
2) I personally did not have the best answer to this, and they asked it during multiple rounds for you to demonstrate that you know intermediate to advanced excel
3) At the time, I was following MU and talked about semiconductors
4) Talked about Adversity experience
5) Did not have CS experience
6) Same issues as before
7) Worked with investments and researching for a portfolio manager so I talked about that
8) Enthusiastic, hard-working, and detail oriented
9) Talked about sports and clubs

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.

3.4
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.

3.1

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