Bloomberg Data Scientist interview questions

There were 3 rounds. First was a short phone screen, then a live coding exercise, and finally an interview with two members of team. The whole process took about a month from phone screen to final decision.

I have a background in economics, statistics (but no Python or SQL) and I'm interested in finance. I applied for the Data Scientist role. First thing after the application is the plum test (you can find infos online), then a pre-recorded video interview (also enough information about that here). At that point, you're invited to assessment day. Shortly before assessment day you're sent a link to an online data-skills assessment, which tests you on statistics (roughly 10 questions, 30 min time). I was surprised to see it includes SQL and Python although the role doesn't require these skills at all, but whatever. On assessment day comes the big surprise: HR says that assessment day will decide whether we align to the Data Scientist position or the Data Analyst one. They say Analysts have more technical data skills, and Scientists have more of a finance focus. Wait, what? I have no degree in finance so I surely can't be the finance person here, and I have no hard coding skills for the Analyst role, which is exactly why I didn't apply for that position. At that point I knew I was out, even if I align with the job description on paper (look it up yourselves). We then had the workflow chart exercise (10 min, not 30!). It's a bit confusing and there isn't really a way to prepare. You're asked to make 3 suggestions on how to improve it. Finally the interview, it was a good-cop bad-cop situation (bad cop was just bored and clearly thought they were wasting time, but can you blame them? I also knew I had no chance at that point). Questions were appropriate (see below). Also, the role requires fluency in a foreign language, but no one ever tested me on that (wink wink). Good luck y'all!