I applied online. The process took 2 months. I interviewed at Two Sigma in Feb 2022
Interview
Applied online and initially had a telephone interview with HR. Followed by 3 rounds of 3 people each round. Very interesting and challenging interviews with a mix of coding, finance and behavioural questions. Very good experience with the interviews. However the HR is one of the worst you will ever have to deal with. I had to chase them to arrange interviews, very unresponsive, they didn’t share details of the interviewers unless I asked multiple times and in a case they send me a request for a same day interview. Of course they never shared any feedback and I didn’t even get a rejection email.
It will be a phone interview first. They will ask you technical questions about probability/ statistics. The interviewer is friendly, but the question is not easy. The process is good.
Interview questions [1]
Question 1
There are 11 people, they want to make sure that every 6 of them can open a box. How many keys at least for each person should have? How many locks? (One key can only open one lock, but one lock can be opened by many keys)
I applied through an employee referral. I interviewed at Two Sigma
Interview
First round: multi variable time series modeling
Virtual Onsite: coding + research + talk about a paper you read recently + statistics foundations
Very likely failed in statistics foundations.
Need more serious preparations to get through the position.
Interview questions [1]
Question 1
First round: multi variable time series modeling
Virtual Onsite: coding + research + talk about a paper you read recently + statistics foundations
I applied online. The process took 1 week. I interviewed at Two Sigma (New York, NY) in Nov 2023
Interview
Two rounds of probability theory followed by two rounds of coding. The probability theory round were consists of some puzzles, counting and Markov chains. They focused on random walks induced by certain real-life questions.
Interview questions [1]
Question 1
I do not remember the exact questions but it was heavily focused on Markov chains.