Bloomberg reviews

4.0

78% would recommend to a friend

(8,240 total reviews)
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Michael R. Bloomberg and Vlad Kliatchko

84% approve of CEO

73% positive business outlook

Bloomberg has an employee rating of 4.0 out of 5 stars, based on 8,240 company reviews on Glassdoor which indicates that most employees have a good working experience there. The Bloomberg employee rating is in line with the average (within 1 standard deviation) for employers within the Tecnologia da informação industry (3.9 stars).

Reviews by job title

8K reviews
2.0
Oct 29, 2018
Recommend
Business Outlook

Pros

- Great pay - Great benefits (no-fee health insurance, access to nyc & london museums for free) - 3 month new hire training program is a good opportunity to make some friends

Cons

Everything at bloomberg is legacy. Code runs directly on hardware on machines in the datafarms. Some servers are IBM and solaris, not linux, and don’t even support the c++ compilers from 2011. Most senior devs have been in the company since college and haven’t learned anything new about the world of coding for years. It is tough when your team lead is both a friendly person but also hasn’t heard of basic coding tools, like `curl`. I have friends who entered the company with me just a year or so ago out of college and spend most of their time writing fortran. (If you don’t know what fortran is, and you’re under 40, that’s probably a good thing.) Bloomberg Terminal frontend apps are written in an esoteric javascript framework called Rapid, which is a major headache and won’t help you build skills in any modern frontend framework. Bloomberg is a good first job out of college in that you get a great pay and great benefits and can use that to establish yourself in a new city (probably nyc) and save up some money / pay off loans. But if you care about growing as a developer, and if you will be unhappy in an organization where people aren’t passionate and there are few opportunities to really learn, leave quickly.

3.0
Oct 1, 2018
Recommend
Business Outlook

Pros

I will try to be as honest as possible - some of the pros are this is a really good place to start your career, especially if you want to make the jump to one of the big banks in a year or 2. Really good benefits as well - good base, free food, insurance fully covered and probably the best 401k match you will find out there(7.5%). New batch of kids out of college every few months start and all of global data is all young kids who end up becoming your good friends since there is nothing to do in the area. You can your time here to try to build up your tech skills or study for the CFA. Take the offer if you have contacts already in Global data that can honestly tell you about the team that the company want to place you in - it's a complete hit or miss and you want to make sure you don't get stuck for 18 months on a useless team wasting your time.

Cons

I mentioned they bring in a fresh batch of kids in every few months - There's a reason for that. The turnover is incredibly high and the reasons for these have been stated lengthily in the other reviews. Probably about 75% of the data teams are complete BS. Most of your job will be manually tagging data day in and day out cranking out work items. Then you will be assigned a block of time where you have to do troubleshooting for clients and their questions. Nobody can escape this, everyone who is an analyst has to do this. It can be manageable if you are on a big team where you might be assigned to do this once a week for a few hours to doing it multiple hours a day. The actual "data analysis" works probably comprises of a small part of your day unless you are an extremely motivated individual who stays in the office for an extra 10 hours a week to do these projects on your own. It is crucial that you find contacts within global data that can give you an honest picture of the data team that you get the offer for. There are some very good teams that are working on exciting projects under talented managers and if you get onto those teams then this should be an auto accept. One of the other things is that it is an unfortunate cycle where the talented folks quickly learn that they either got stiffed by a bad team/manager, or reached a professional/educational growth ceiling in their role. Since the management structure is extremely flat, these folks leave within 1-3 years. Because of this, the middle of the road analysts stay and end up becoming horrible managers. There are of course some amazing managers, but this is the exception not the rule.

2.0
Jun 5, 2018
Recommend
Business Outlook

Pros

Free food Good benefits (health and travel insurance) Nice office space Absent TL who didn't care what I was doing or even try to involve me in anything new , this allowed me to study new data technologies and prepare me for my next job

Cons

In none of my previous jobs have I seen such an amount of fake-it-till-you-make-it people. There are smart people in the company but you get the feeling that they either leave or there smartness goes to waste. To be successful on the data side you need to be as prolific as you can be, hand over your new ideas and initiatives as quick as possible to someone else and go on to the next thing. Quality and impact is not important. If you doubt me, just ask anyone that has used Bloomberg's treasury management system for instance. If you find yourself constantly picking up the ball where others drop it, you're in a long downward spiral. It will not end in acknowledgement or promotion of any kind. Bloomberg is a stepping stone, it's definitely not an employer you want to stay with for a long , and if you do, there's probably a big chance you're the fake-it-till-you-make-it type.

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