Candidatei-me por meio de uma faculdade ou universidade. Fiz uma entrevista na empresa BlackRock.
Entrevista
Referred by my professor because I had a relevant project experiences and received a phone interview with quantitative researcher in team in about one week. The interview lasted about 30 min.
Perguntas de entrevista [1]
Pergunta 1
A lot of general concept type of questions such as the meaning of beta. Go really deep into your past experiences relevant to the position, so be prepared. Mainly tests your sense about the market.
Complete two LeetCode problems. After solving each, record a short video explaining your reasoning, algorithm choice, key trade-offs, and time and space complexities. Focus on clarity, concision, and structured communication.
Perguntas de entrevista [1]
Pergunta 1
The example sequence 011212201220200112 ... is constructed as follows: 1. The first element in the sequence is 0. 2. For each iteration, repeat the following action: take a copy of the entire current sequence, replace 0 with 1, 1 with 2, and 2 with 0, and place it at the end of the current sequence. E.g. 0 -> 01 -> 0112 -> 01121220 -> ... Create an algorithm which determines what number is at the Nth position in the sequence (using 0-based indexing).
Fiz uma entrevista na empresa BlackRock (San Francisco, CA).
Entrevista
I completed a rigorous hiring process that involved 4 virtual interviews and a take-home assignment. Later had 7 on-site rounds focused on assessing my skills in Statistics, Machine Learning, Operating Systems, and System Design.
Candidatei-me por indicação de um funcionário. Fui entrevistado pela BlackRock (Londres, Inglaterra) em dez. de 2022
Entrevista
On-site interview with 4 to 5 sessions involving a panel of 2 to 3 people each time. Each session runs for at least one hour so the whole process takes roughly a full working day.
Perguntas de entrevista [1]
Pergunta 1
Walk me through the standard linear model: its properties, its limitations and how they can be overcome.
How would you compute a vector norm in just one line in Python with Pandas ?