1st round - Interviewed last year and had a leetcode style questions, this time around however the questions were Bloomberg and role specific eg from a list remove invalid words(think of it as a data cleaning but with basic data structures) . 2nd round - Best advice is practice using kaggle on as many datasets as possible, stratascratch is okay but found kaggle more useful.
Tell me about yourself Projects you worked on
Can you share your relevant experience for this role What is your career goal in next five years? Why finance?
What is a certain project or assignment that you worked on others with and had to manage differing priorities.
A figure on data taxonomy
What is precision and recall?
Whats wrong with this table?
What do you use time series for?
How do you deal with people who are hard to work with?
Nothing really, just generic interview questions.
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