Quick online application, then a PLUM online assessment. Then you are contacted to do a pre-recorded interview. The pre-recorded video takes about 20mins, every question is timed and starts automatically . You do not get a chance to redo your video, so make sure to kill it on your first try.
Interview questions [1]
Question 1
1) Please give a brief introduction of yourself and explain what motivated you to apply to this role?
2) (PLEASE ANSWER IN ENGLISH) What is Bloomberg's core product and in the simplest way possible explain what it does?
3) (Please answer in Japanese) Being passionate about the financial markets is crucial to the Analytics and Sales role. Please talk me through a news story you have read in the last week, and why might Bloomberg's clients care about it?
4) (PLEASE ANSWER IN JAPANESE) Bloomberg is known for its platinum customer service. Please provide an example of a time when you provided exceptional customer service to someone. Describe the situation, the steps you took, and the outcome.
5) (PLEASE ANSWER IN JAPANESE) Everyone has sold something. Even if you never sold a product, you probably had to sell an idea or concept to others at some point. What are three skills or attributes that you possess that will make you successful in sales? Provide an example of a time when you used one to get a result.
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.