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本帖最后由 andrew_shen 于 2019-11-2 14:41 编辑
东海岸理科PhD. 以下申请的职位全都是 Quantitative Research/Trader Intern. 面试的过程有点辛苦, 但从中学到很多.
Citadel
Approached by a recruiter.
1. Phone 1
Leetcode 121, 123
2. Phone 2
yield keyword in Python
friend and static keyword in C++
Received onsite invitation in less than a week.
Reveived offer a week later.
Two Sigma
Referred by a friend of a friend
1. OA
Linear interpolator, New York temperature
No phone interview. Received onsite invitation about two weeks later.
Signed non-disclosure for onsite. The three rounds in the morning are pure technical: one round probability/statistics, one round coding, one round mixed random questions. The three rounds in the afternoon are with hiring managers and a MD. They asked data questions and behavioral questions.
Received reference request a week later. Received offer one more week later.
DE Shaw
Applied online.
Received onsite invitation two days later.
Signed non-disclosure for onsite. Three rounds in the morning, one more round after lunch. On average 35% time on my research, 35% time behavioral questions, 30% technical questions. I aced all technical questions but failed miserably on behavioral questions. I also made a wrong assumption on an open question.
Received rejection email two days later.
Tower Research Capital
Referred by a friend
1. Phone 1
What is R^2? Is R^2 always positive in linear regression? What if there is no intercept?
Estimate side lengths of a triangle. The measurement is noisy but you know the true circumference.
2. Phone 2
A lot of questions on linear regression
Two bullets are randomly put into a six-chamber revolver. There is no bullet when you pull the trigger first. What is the probability that the there is a bullet when you pull the trigger again? What if you know the two bullets are not in consecutive positions?
virtual destructor in C++
Received onsite invitation two weeks later.
Eight hours of interviews were pretty intense. The first four rounds were from one team and the last four rounds were from another team.
Received reference request the next day. Received offer three more weeks later from the team in the morning.
Hudson River Trading
Approached by a recruiter then applied online (their new Mid-freqency Algo Internship).
Received onsite invitation two days later.
Signed non-disclosure for onsite. Two rounds in the morning, two more rounds after lunch. Questions are not very standard.
Received reference request the next day. Received offer one more week later.
Jump Trading
Approached by a recruiter then applied through Handshake.
1. On-campus
Manipulate singly linked list and a DFS problem
A probability question related to Kelley stretegy
Received onsite invitation a week later
Signed non-disclosure for onsite. Two rounds in the morning, two more rounds after lunch. One round coding, one round math (calculus, linear algebra and probability), one round about my research, and one behavioral round by one of the founders. The questions were very well-designed.
Received offer a day later.
补充内容 (2020-10-1 05:15):
I'm currently working for a quant trading startup at NYC. We are actively looking for passionate individuals from all backgrounds with strong initiatives, a great vision and solid technical skills.
补充内容 (2020-10-1 05:15):
We offer both summer and off-cycle internship. Please contact me at andrewshen.quant@gmail.com if you are interested.
补充内容 (2021-07-10 12:59 +8:00):
我们的初创团队开始招 2022 暑假实习生啦！我们的团队小而精，相对 LZ 曾经面试过的大公司而言有很多优势。欢迎感兴趣的同学们踊跃投简历！
We are a start-up trading team at Cubist Systematic Strategies. We are an elite team specialized in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is led by an ex-research head of D.E. Shaw with extremely successful track records. Other founding members consist of industry veterans from top-tier trading and tech firms, including Two Sigma, Citadel, Tower Research, Facebook AI Lab, etc. We have a collaborative culture and we value rigorous research and innovative technologies.
We are looking for exceptional students to be our quantitative researcher interns for the summer of 2022. An ideal candidate should have a strong passion and initiative to work in a start-up team environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative programs of top US universities.
During the internship, the interns will collaborate closely with our full-time researchers and work on brand new quant trading models with real production impact. After the internship, we will provide full-time offers for interns with good performance. If you are interested, please send your resume to Kepleria.Cubist@gmail.com.
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