proba, stats, ML, deep L, regression
Quant Researcher Interview Questions
1,203 quant researcher interview questions shared by candidates
Prime number sequences, typically in creative ways.
weirdly a lot of brainteasers on top of more technical questions
Coding interview had very simple questions, mostly asking definitions and how you would approach questions. ML and quant finance were slightly harder, but mainly focused on definitions/explanations.
oral calculus not expected at the end. And timed
Fill in the missing parts based on a set of existing data. You will be given about ten sets of data to test and check the success rate of your code. The time is very sufficient, about 48 hours.
What are your strengths and weaknesses
1- Estimating missing data in a series 2- Maximum path in a graph 3- Estimating house prices from a database
- Assessments: Coding (3 questions/48 hrs), Aptitude (1 hr), Psychometric (1/2 hr) - Phone call with HR (standard questions + 2 simple arithmetic problems to test quick thinking) - 2 hr individual analysis task followed by a group task with another candidate, under the guidance of a junior trader. Involved coding up a backtesting structure to determine PnL of a strategy. - Dev interview: simple questions on maps/trees - Quant interview: questions on probability/combinatorics/estimation and a potential market making game - Final interview: with head of trading and head HR
Hackerrank: mercury levels est., house pricing, max path sum Phone screen: Couple of straightforward maths q's + some easy behaviourals Quant interview: problem solving + maths. Don't need to answer all of them perfectly, as long as you're personable and can work towards the soln. Dev interview: paired programming - phone directory lookup. Same deal as quant interview. HR: standard behavioural q's with a focus on working in teams. Try to let a conversation flow from it.
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