BTIG LLC Review Data
9 total review submissions
|San Francisco||- good management
- learning opportunities
|- not the best on the street when it comes to standardized…|
|2020||3rd+ Year Analyst||New York||Generalist||Flat hierarchical structure - MDs aren't afraid to put…||Lack of diversity
Flat hierarchical chain of command…
|2019||1st Year Analyst||New York||Pharmaceuticals||Good work life balance and exposure to buy side. Free lunch…||Small teams so just me and the senior analyst. Can feel…|
|2019||1st Year Associate||New York||Prime Brokerage||Alot of the people wokring here have a wealth of experience…||The only negative is the lunch, but then again it's…|
|2018||3rd+ Year Associate||New York||Investment Banking||Good culture - work hard play hard. One of the few banks…||Growing pains, especially as the banking group is newer and…|
|2017||1st Year Analyst||New York||Generalist||Very good experience
good pay, friendly enviorment…
|Long hours some days, felt pressured to work rather than…|
|2017||Intern||New York||Investment Banking||Friendly employees, great access to senior management, free…||Only thing that comes to mind is lack of structure in…|
|2018||Intern||San Francisco, CA, USA||Investment Banking||The best thing about BTIG is the level of autonomy you take…||Extremely low pay, they don't like to pay OT, no…|
|2018||1st Year Analyst||New York||Sales and Trading||It’s a great place to work. Supportive culture.…||At times the hours can be tough but you know that going…|
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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