Mostly questions on statistics. No advanced knowledge is required but you have to be able to use the basics very well and apply them to 'quant type' problems. Some very random questions as well, e.g. what happened to oil price in 2020 april (went negative) and explain why
Quantitative Research Associate Interview Questions
3,500 quantitative research associate interview questions shared by candidates
Simulate OLS regression, what is exploding gradient
A cube is shrinking in the water, but still stays the shape of cube. Given the shrink rate of its volume, ask you to find out the shrink rate of surface area
Multiple python coding tasks using list, dict, pandas, ...
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.
Tell me about the last paper you read. then 1 leetcode easy + 1 pandas question (also pretty direct)
Explain your background and your transition from mathematics to finance. What was the subject of your dissertation? Did it include mathematical modelling? What are the drivers of global equity markets/asset prices? Describe a scenario which you find interesting and do a long/short recommendation accordingly. What would you test concerning inefficiencies or patterns in the market? How?
Math IQ questions with graph and so on
Why J P Morgan Chase
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