Standard behavioral questions + how would you react in __ situation
Data Modeling Interview Questions
1,024 data modeling interview questions shared by candidates
Algunas preguntas típicas como qué sabés de la empresa, por qué estás interesado en el puesto, y otras más orientadas a testear tus conocimientos.
They first asked some questions around the data analysis I had to present at the beginning of the interview (that I had 6 days to prepare the presentation). Then they went to competency based questions, mainly around people management and project/time management. Lastly the focus was around technical knowledge relevant to the role (types of models, regulations that I know of that impact the credit risk space, their impact).
What regression methods do you use?
Name a time you had a difficult situation with the team and how you resolved it
What are three things you like in a work place and what are three things you dislike?
How you think this role can make a difference? Your thoughts on what change you can bring with your expertise? How various technologies can be applied to mitigate risk factors?
Questions about resume. What is going on undercover in Python Lists, why are working with numpy arrays faster? Tell me about Python generators. Describe c++ VTable.
questions asked: 1) Introduce yourself 2) told me about blackrock 3) rate yourself on the scale of 10 4) explain encapsulation, abstraction 5) diff between struct and class 6) do we have interfaces in C++, how can we apply them 7) virtual functions,pure virtual functions. 8) runtime and compile time polymorphism 9) stack , list,set, hashmap 10) sql
I was given an algorithmic question: A array of n integers write an algo that tells if it exists (i,j) in A so that A[i]+A[j]=k (k a given integer) I think they are expecting real hard coders to do the work. I was not asked any brainteaser, probability questions etc....
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