J'ai postulé via un recruteur. J'ai passé un entretien chez Bloomberg (Londres, Angleterre) en oct. 2025
Entretien
Total 4 rounds. 1st is HR, 2nd & 3rd are Technicals, and final interview is a senior manager round. Mine was a graduate level role. 1st HR round was kind of a screening round with basic technicals and behavioural questions. 2nd round was a proper technical round with a focus on DSA, Data Modeling, Taxonomies(bloomberg loves this), Statistics, and little machine learning. 3rd round was mainly a Exploratory Data Analysis round using python and pandas. Final round was a behavioural round with the senior manager. All the interviewers were super awesome. It felt more like a discussion, rather than a interview. All they want is to see you collaborate with them. The HR was super fast with the updates as well. Totally a very smooth experience and I feel really grateful to all the people who interviewed me and coordinated my entire process. Really excited for my joining date.
J'ai passé un entretien chez Bloomberg (Hong Kong)
Entretien
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.
J'ai postulé via un recruteur. J'ai passé un entretien chez Bloomberg (New York, NY)
Entretien
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.
Questions d'entretien [1]
Question 1
Find any issues in this dataset (picture of a dataset).