From what I remember: Coding: 1) Sort based on frequency 2) Find pairs from a given array whose diff is k 3) Best Time to Buy and Sell Stocks IV 4) Min. days to complete given jobs, given an upper time limit on how many jobs can be completed in a day 5) Fibonacci-styled questions Prob./Stats: 1) Intuition on Linear Regression 2) Chances of picking a higher card than me if you pick first 3) When to use different prob./stats. distributions and apply them to a given scenario. Finance: 1) Intuition on Volatility and Option Pricing (nothing too in-depth)
Quantitative Associate Interview Questions
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2 case interviews. 1. Credit Card employment verification process 2. Wine store and competitors
Programming, statistics, probability, machine learning and finances.
K largest elements from unsorted list, fastest possible algorithm
The assignment was on a weather dataset containing hourly observations from weather stations in London and Paris. The first question was: "Give an example of a serie that follows a normal/gaussian distribution. Describe it and re-normalize. Give an example of a serie that is not normal/gaussian and normalise it."
Find the Kth largest number in a shuffled array.
Write a code to print the square of the integers up to some certain one.
Q1: I repeatedly throw a balanced coin, what is the expected time to get 'n' successive heads. n being an integer. Q2: Let X and Y be two standard gaussian variables. What is the probability that : X<2Y
Challenges faced in the project
intro, intern exp and project
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