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投行里面的quant岗位，有很多种，比如：
Fixed Income
Hybrids
Derivative
Strategy
Prop Trading
Model Validation
不同的细分quant业务，对于skillset要求也不一样。比如风险相关的，就会需要risk management对应的background，而统计套利，则对统计建模能力要求高
投行的Quant，工作时间和压力，要看所在的部门。有些部门加班会比较多。
去年全球股市开始回暖。投行业务也在复苏。
最近几个月，刚入职的小白quant analyst，base大概是10万-15万美元之间。
10万-15万之间的区别，主要基于学历背景，之前实习项目背景，面试表现，综合来定。
年底bonus的话，要看所在组的performance rating，几个月-几十个月都有可能。
比较厉害应届的博士，能直接申请到associate岗位。
这家电话面，是纽约的top投行，quant偏QD的岗。
电话面，先问了两道代码实现题，
1. Given an integer n, return true if it is a power of three. Otherwise, return false.
An integer n is a power of three, if there exists an integer x such that n == 3x.
2. Given a list of the scores of different students, items, where items[i] = [IDi, scorei] represents one score from a student with IDi, calculate each student's top five average.
Return the answer as an array of pairs result, where result[j] = [IDj, topFiveAveragej] represents the student with IDj and their top five average. Sort result by IDj in increasing order.
A student's top five average is calculated by taking the sum of their top five scores and dividing it by 5 using integer division.
问完实现题之后，又问了一些behavior相关的。