I applied through college or university. The process took 2 months. I interviewed at Bloomberg (London, England) in Nov 2016
Interview
The interview process had a lot of different steps, but it was good to get to know the firm as well as possible. It was also always very well scheduled, and not too time consuming. For that reason I felt it was a very efficient process. It had an initial moment when I applied online and when I did the online test, and was followed by a phone interview, followed by 2 video conferences, and one final round in London with the Head of the division. In total it took 2 months.
Interview questions [1]
Question 1
0. Online forms and online numerical test
A. Phone interview:
1 Go through your CV and tell me a bit more about your experiences
2 Why Bloomberg?
2 Why sales & analytics programme?
3 Pitch to sell a terminal? Compare with competitive products
4 Very personal interview, specifically with the goal to get to know the candidate profile and past experiences
5 Questions
B. Video conference with Team Leaders in local offices:
1 Go through your CV and tell me a bit more about your experiences
2 What did you learn with your most recent job that you performed?
3 What was the job/task you consider most meaningful to the Sales & Analytics position? What did you learn with it?
4 Why Bloomberg?
5 Who are Bloomberg clients?
6 What are the Bloomberg Products?
7 What is driving the data management profissional services growth? Why are these services necessary to our clients and to the market?
8 Why finance?
9 Why Bloomberg and not a bank?
10 What's the difference between a bond and an equity?
11 What is your understanding about the Sales & Analytics programme?
12 What is excellent costumer service?
13 Questions
C. Video conference with Managers in local offices:
1 Tell us a relevant experience from your CV that would make you stand out in the Sales & Analytics programme. Some relevant experience to the referred role.
2 Loads of questions regarding that one experience I pointed out, and how did I behave in several situations in that experience. e.g. how did you react when something went wrong? tell us about what you are most proud about that project. tell us how did you make your point through.
3 Role play to pitch them something: either an office tool, or an experience from your CV.
4 What are Bloomberg products?
5 What is driving the data management profissional services growth? Why are these services necessary to our clients and to the market?
6 Why Bloomberg and not a bank?
7 What is your understanding about the Sales & Analytics programme?
8 What is excellent costumer service?
9 Questions
D. London inhouse final interview with Head of Analytics:
1 Go through your CV and tell me what have you been doing recently
2 Questions about some of those experiences, in particular past jobs
3 What didn't you like about your past job? Do you believe that won't happen again at Bloomberg? Why?
4 Why is Bloomberg a better place to start your career than your current employer?
5 What do you understand about Costumer Service? When have you experienced or provided an excellent costumer service?
6 Situational judgement (focused on the job of the Analytics department): given 4 different request you just received (these requests were described in detail at the time of the interview), how would you prioritise them? Which requests would you take care first, and why?
7 Questions
Begins with a personality assesment that also includes puzzles meant to test pattern recognition. The assesment and the personality quiz takes about 30-40 minutes and requires no preperation before hand.
First was Hireview, 1 Hour interview with two team leaders, and assessment centre, consisting of tests, networking, and a final round interview with two team leaders from analytics and sales departments respectively.
Multi step interview process, they have you submit a recorded video interview, then you get selected for a virtual super day where they interview a bunch of candidates at once, then you get an in person. Know about finance and know as much as you can about Bloomberg and its business. Have a good take on AI in finance.