What is your background? How would you approach the given challenge?
Junior Quantitative Analyst Data Analyst Interview Questions
10,226 junior quantitative analyst data analyst interview questions shared by candidates
What is your background? How would you approach the given challenge?
stochastic calculus and probability and statistics
1. A few questions from basic mathematics were asked in round 1; topics included probability, PnC, calculus, and stochastic processes. a. You are given a chessboard and asked to select one black and one white square, given that if you select one square, you can not select the other square in the same row and column. What is the total number of possible ways to select? b. You are given five pens, out of which two pens are defective. What is the probability that you get defective pens in the first two attempts? c. There are two persons, A and B, and the probability that A wins is 0.2, and B wins is 0.3. what is the probability that either of them wins? d. There was a question from integration by parts, I do not remember the question exactly. 2. Some questions were also asked from programming but were easy. They focused a lot on OOPS as well and asked questions about polymorphism, etc. Specific questions are as follows.. a. write code to print the Fibonacci series. b. write code to print diamond pattern. c. Write code to identify anagrams. d. DIfference between numpy and pandas, list and tuple. e. what is dataframe. f. You are given coordinates of four points. Write a code to identify if it is a square. g. Basic questions from function. 3. some questions were also asked from puzzles. all questions are on GFG, all questions were standard, like race of 25 horses. ** Round 2** In round 2 they discussed the resume in detail. all the projects and relevant coursework. Puzzles and guesstimates (for example, they asked what is total number of swimming pools in your city is) were also asked. Refer to GFG for puzzles.
Is the pay off for a put option negatively skewed
Writing a pseudo C/C++ code to extract data from a large set
How do you keep up to date with market trends and developments?
What is PCA? What is multicollinearity? Two assets with different variance but same return, which one you want to incorporate in your portfolio?
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.
How do you think blackrock differentiate itself.
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