Bloomberg Data Management Professional Interview Questions | Glassdoor
Average interview
Application
I applied through a recruiter. The process took 1 week. I interviewed at Bloomberg
Interview
Started with a HR round and asked general 'Why' questions and told more about the role with other general HR screening questions. First technical round was given a leetcode easy on their LC tagged, and then some conceptual questions about data normalisation and machine learning concepts. My interviewers came across as not wanting to be there and couldn't be bothered with the whole thing (one interviewer also seemed to hide a laugh when I answered a question). Glad I didnt get an offer
Interview questions [1]
Question 1
LC Bloomberg tagged, data normalisation and ML concepts
Consists of 3 parts. The first is a leetcode-easy python coding problem. The next is a real-world solution based on statistical knowledge. The last is a taxonomy problem that requires you to find out flaws in the original one.
I applied through a recruiter. I interviewed at Bloomberg (New York, NY)
Interview
I was contacted by a recruiter for the role. After an initial HR screening, there were four rounds of interviews. The first round was with the hiring manager/team lead and focused on my previous experience and general questions related to the role. The second round was a technical interview with two team members and included a live Python coding exercise. The third round was a take-home Excel assessment with basic questions related to financial statements. The final round was on-site with two team leads and included a mix of behavioral questions and discussion about past experience.
For the Python round, focus on solving LeetCode easy-level questions and reviewing basic Data Modeling, ML and Stats.
Overall, it was a positive experience and HR was quick with updates throughout the process.
The first round was behavioral, followed by a technical interview focused on data modeling concepts and data quality considerations rather than coding. The second technical round involved exploratory data analysis using Python and pandas.
Interview questions [1]
Question 1
Find any issues in this dataset (picture of a dataset).