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).
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....
How to use VBA to break circularity in a model?
Questions related to your case study Behavioural questions (STAR Questions) Example: How would you deal with disagreements/conflicts?
How would you value this building?
About myself, Technical questions ( simple )
How did you perform WACC?
Technical questions on capital and liquidity modelling
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