Get Active in Our Amazing Community of Over 448,000 Peers!

Schedule mock interviews on the Meeting Board, join the latest community discussions in our Consulting Q&A and find like-minded Case Partners to connect and practice with!

Tips for re-applying?

Bain BCG MBB McKinsey
Recent activity on Oct 24, 2017
1 Answer
3.6 k Views
Diego
Proficient
asked on Oct 24, 2017
PhD Student at Northwestern University - Upcoming Interview with McKinsey

Hi,

I got interviews with MBB but didn't make it past the first round.Other than waiting 1-2 years, what else would people recommend so I get another chance?

Thanks!

Overview of answers

Upvotes
  • Upvotes
  • Date ascending
  • Date descending
Best answer
Anonymous updated the answer on Oct 24, 2017

I didn't have the experience of applying for a second time but as a Partner that led recruiting for McKinsey's Boston office and can tell you what I saw and looked for. I didn't hesitate to look for candidates that reapplied. I did have a record of their first application and all of the notes of why they were a turndown in the first place. This included:

  • Strength of resume
  • Interaction with recruiters and consultants
  • Notes of their 1st / 2nd round interview performance (if they had one)
  • Office preferences

For their “rebound”, I looked at the following:

  • Growth: What has the candidate done in the previous years to improve upon their skills that would be helpful as a consultant?
  • Company / Position: What was the company / firm they worked for? Was it a Fortune Global 500 company? Was it a highly entrepreneurial company? Did the candidate have a highly visible position?
  • Drive/Achieving: Has the candidate shown significant drive / achieving attributes that warrant an interview?
  • Interest: Has the candidate networked and stayed in touch with the consulting ecosystem?
  • Goals: Why does the candidate want to leave her/his position to join consulting? And, is she/he willing to start over at the junior level as an Associate?

(edited)

Was this answer helpful?
11
How likely are you to recommend us to a friend or fellow student?
0
1
2
3
4
5
6
7
8
9
10
0 = Not likely
10 = Very likely