Morgan Stanley Review Data
608 total review submissions
|2020||Intern||New York||Generalist||Gain First-Hand Experience. Internships give you an insider…||Gain First-Hand Experience. Internships give you an insider…|
|2020||Intern||New York||Mergers and Acquisitions||This was an awesome experience. Had an excellent…||the hours of course. It sounds a bit cliche but that is…|
|2019||2nd Year Analyst||new york||Investment Banking||My group gave good deal experience, very lean deal teams…||Group was a complete sweatshop, horrible culture, very…|
|New York||Great hours, never really worked over 45 per week. Access…||Not very stimulating work. Tasks were quite monotonous and…|
|London||Great people especially at junior level with full support…||Better management would lead to less last minute requests…|
|New York||The pay was pretty good and their was a relocation bonus…||The work was pretty run of the mill excel work and not that…|
|New York||i am very happy, the company is very good, business is good…||the hours are not that good and the work from home…|
|New York||- supportive work environment
- great networking…
|- salary is a bit low, overtime pay is not enough
|NYC||great company and people, would recommend. Strong team…||Hours which is to be expected from finance, hierarchy can…|
|New York||Got the job through a close family friend but everyone was…||It was a bit stifling of a culture (slightly buttoned up)…|
|london||overall great experience at Morgan Stanley. I worked at…||Global pay, but with the UK tax system, the actual pay you…|
|2020||Intern||San Francisco||Real Estate||- Really smart/helpful people on the team
|- Long hours
- Hours can be unpredictable based on…
|2020||1st Year Analyst||San Francisco, CA, USA||Technology||Outgoing culture along with great deal experience within…||Location isn't the best and the team is extremely…|
|2019||1st Year Analyst||Melbourne||Mergers and Acquisitions||MS was very supportive of intern training, and development…||Long hours even as an intern. MS was very supportive of…|
|2019||Intern||New York||N/A||Great group culture and projects; exciting to be a part of…||Tough lifestyle; projects varied a lot in difficulty and…|
|2020||Intern||London||Sales and Trading||I enjoyed the internship programme, it was generally well…||I didn't like how the internship was virtual.
|2019||2nd Year Associate||New York||Wealth Management||- Great experience to learn the business bottom up…||- Felt very 'salesy'
- Management only…
|2019||1st Year Analyst||New York||Generalist||* Great all around culture
|* Some programs can have you rotated to teams you are not…|
|2019||2nd Year Analyst||New York||Generalist||The work is relevant, with significant responsibility…||Comp is weak, and turnover is insanely high. Turnover…|
|2020||Vice President||Hong Kong||Equity Research||great company culture, work-life balance. Salary is good.…||demanding job, office dominated by mandarin-speaking people…|
|2020||Vice President||NEW YORK||Quantitative Research||Big platform, a lot of freedom to get exposure various…||Little opportunity for lateral move, pay has little…|
|2012||Other||Short Hills||Wealth Management||Relatively strong community, consistent corporate culture…||More of a hunter-gatherer role than an investment adviser…|
|2020||Intern||New York||Wealth Management||Loved the people and comparatively fewer hours to IB…||Wish I had learned a little more about the long term career…|
Overall Ranking is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.
The number you see in the middle of the donut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.
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