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How does differentiate the expert hire path in BCG, McKinsey, and Bain from the classical entry?

Anonymous A

Dear all,

I am interested to learn more about the expert hire path in BCG, McKinsey, and Bain.

For example: What are the differences comparing to the classical consulting entry from the following perspectives:

1) Possible roles in the daily life and growth potential (E.g., musst the expert travel every Monday to the client? Would he offer internal or external consulting? Is there any specified career path for this segment of consultants? Is there any differences in the offered salaries?)

2) Interview process

Thanks,

Vlad replied on 03/05/2018
McKinsey / Accenture / Got all BIG3 offers / More than 300 real MBB cases / Harvard Business School

Hi,

It depends on the role you are applying to:

  1. Experienced hire for a generalist position
  2. Research expert
  3. Expert hire in a particular practice (e.g. implementation coach in Digital)

1. Experienced hire for a generalist position - this is basically the same as the generalist. Your expertise will help you with staffing on particular projects

2. The research expert is a supporting (non-consulting) role. Here are the implications:

  • You are specialized in a particular industry sector
  • You may or may not be assigned to a project. In most of the cases, you will have limited client-facing activities.
  • Lower salary
  • No international staffing, though lots of remote work with other offices

3. Expert hire in a particular practice - it's a more client-facing role:

  • You are specialized in a particular function
  • You will be assigned to a project. You'll have quite a lot of client activities
  • Salary might be comparable to consultants
  • International staffing opportunities

Answering your second question, you will have 3-4 case interviews with FIT and some industry-specific questions. You should know:

  • Latest trends in your field
  • Key analytics instruments and examples of how you applied these tool in your past
  • Applicability to different industries

I think the best way to prepare is to find the relevant technical articles and knowledge nuggets on McKinsey official site - they have plenty of them.

You may also be hired for some data-science positions. In this case make sure that you know how to work with excel and databases (sql, Python, etc.)

Good luck!