Agricultural Bank of China Review Data
9 total review submissions
|2019||2nd Year Analyst||Corporate Banking||Nice work and life balance, nice colleagues. There is no…||Working there for a while you find out that this is not the…|
|2020||Intern||luxembourg||Risk||Great work environment, friendly staff and subsidy for…||Few return offer for intern who seeks for a full time job.…|
|2020||1st Year Analyst||Nassau||Risk||The role at khans tutorial is not bad. Good flexibility,…||Salary is far below minimum should be for the role. Stale…|
|2020||2nd Year Associate||Beijing||Restructuring||you will cooperate with all those best talents in…||the culture here is not friendly for those who do not…|
|2019||Student / Prospective Monkey||Seoul||Generalist||Good work culture, friendly co-workers and CEO. Especially…||Not much to say, some rote work and less hand-holding, but…|
|2010||Intern||Shenzhen||Accounting and Finance Department||-Great work environment|
-Strong mentorship program…
-Hard to get your own ideas across…
|2011||Agricultural Bank of China -Treasury||Hong Kong||Treasury||1. Nap time after lunch (Chinese company tradition)|
|1. Low salary compared to US and European banks|
|2012||Wealth Management||Beijing||Wealth Management||1. The relationship with the manager is very good. She is…||1. It's a basic office work. I don't learn much…|
|2011||Business Apartment Assistant||Shenzhen||Equity Analyst||Even if I was an intern there, co-workers there all were…||Interns didn't get much pay compared with many of the…|
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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