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JPMorgan Chase & Co. Quantitative Researcher Interview Questions and Answers
JPMorgan Chase & Co. Quantitative Researcher Interview Experiences
4 interviews found
Pratyush Srivastava
(1 Question)
- Q1. Finance, probability
Anonymous
Selected
I applied via campus placement at Indian Institute of Technology (IIT), Roorkee and was interviewed before Jun 2023. There were 6 interview rounds.
3 sections consisting maths, prob stats and CS fundamentals
2 easy to medium-level coding questions
(2 Questions)
- Q1. Draw graph of x+(1/x)
- Ans.
Graph of x+(1/x) is a hyperbola with two branches.
The graph consists of two branches, one in the first quadrant and one in the third quadrant.
As x approaches positive or negative infinity, the graph approaches the x-axis.
The graph has a vertical asymptote at x=0.
The minimum value of the function is 2 when x=1 or x=-1.
- Q2. Questions from the book xinfingzhou
(2 Questions)
- Q1. 3 coding questions on greedy algorithm
- Q2. 2 coding questions on dynamic programming
(1 Question)
- Q1. Questions revolving quantitative finance on bonds, options and black scholes
(1 Question)
- Q1. Typical straight forward HR questions
Interview Preparation Tips
Neel Kumar Bodanki
I applied via campus placement at Indian Institute of Technology (IIT), Chennai and was interviewed in Dec 2016. There were 5 interview rounds.
Interview Questionnaire
5 Questions
- Q1. Write a pseudo code to find the k'th largest element in a array
- Ans.
Pseudo code to find the k'th largest element in an array
Sort the array in descending order
Return the element at index k-1
- Q2. A question based on expectation
- Q3. Another coding question(cannot remember which one)
- Q4. This round was completely based on probability and expectations. Asked 3-4 questions on expectations
- Q5. Probability and coding
Interview Preparation Tips
Experience: There were total 10 multiple choice questions and 4 subjective questions.
The MCQ's were based on Probability and expectation.
The descriptive were based on
1. Number Theory
2. Puzzle
3. Coding (Need not write compilable version but write a clear pseudo code).
4. Coding(Same as above).
Solve puzzles in heard on the street and day 1.0 book. Finish the course Data Structures and Algorithms.
Tips: Must correctly solve atleast 9 of the probability MCQ to ensure a final interview shortlist.
Duration: 1 hour 20 minutes
Total Questions: 14
Round: Technical Interview
Experience: He asks you write a pseudo code for the question asked. You must write a clear working algorithm. If you make small mistakes, he will try and correct you but huge algorithm errors can cost you the call for next round.Remember to give correct time complexities for the algorithm written. Be clear and try to explain your thinking process to the interviewer. If you are stuck, try to explain your idea and where you are stuck. He will help you move further. The whole interview lasted around 40-45 mins.
Tips: Maintaining communication with the interviewer is very important. Asked reason for low CGPA (mine was 7.94).
Round: Technical Interview
Experience: One o the question was - If you break a stick of unit length into two parts then what is the expected length of the longer part. A few others to calculate mean and standard deviations etc.
Tips: Must communicate with the interviewer and show him your arrival at the solution. They usually respond positively if you give them the correct answer. If you make a mistake, will give you a small hint to correct yourself but if you still make it, then you're out. If you are good with stochastic processes , then it would definitely increase your chances of progression.
Round: Technical Interview
Experience: Started with asking about favourite coding language. Chose Java , then asked basic questions like what is static class and what is it used for (OOPS concepts). Asked a few probability questions and then a few DSA questions.
Tips: Was bad in a section( I could not answer OOPS questions)but still gave me a chance again. If you recover from it and answer remaining correctly then you get to go to the HR round.
Round: HR Interview
Experience: Telephonic interview and was asked few questions about myself like education, Family background, Why job instead of higher studies, why job in finance and specifically Quantitative research, future plans etc.
Tips: This was not really tough. The HR also tried to explain what the job was about. They confirmed the Job Offer within 5 minutes after the phone call ended.
Skills: Coding Skills And Knowledge On Data Structures, Probability And Statistics, Solving Logic Puzzles
College Name: IIT Madras
Skills evaluated in this interview
What people are saying about JPMorgan Chase & Co.
I applied via campus placement at Indian Institute of Technology (IIT), Chennai and was interviewed in Dec 2016. There were 4 interview rounds.
Interview Questionnaire
2 Questions
- Q1. The questions are coding data structures
- Q2. How would you find a loop in a linkedlist?
- Ans.
Loop in a linkedlist can be found using Floyd's cycle-finding algorithm.
Use two pointers, one moving at a speed of 1 and the other at a speed of 2.
If there is a loop, the two pointers will eventually meet at some point.
If there is no loop, the faster pointer will reach the end of the list.
Time complexity is O(n) and space complexity is O(1).
Interview Preparation Tips
Experience: The questions are from expectations.
Practice probability
Duration: 1 hour
Round: Technical Interview
Experience: Questions are adaptive,I mean interviewer builds up questions basing on our answering
Skills: Data Structures and Algorithms, Mathematics, Probability And Statistics
College Name: IIT Madras
Skills evaluated in this interview
JPMorgan Chase & Co. interview questions for designations
Interview questions from similar companies
I applied via Company Website and was interviewed in Feb 2024. There was 1 interview round.
(1 Question)
- Q1. 1) What is attention mechanism (since it was mentionned in my resume) 2) What is the sde of the Heston model? 3) What is implied volatility? 4) What is PCA (machine learning question)? 5) How matrices are...
- Ans.
Answers to various quantitative research questions
Attention mechanism is a key component in deep learning models that allows the model to focus on specific parts of the input sequence.
SDE stands for Stochastic Differential Equation in the context of the Heston model used in quantitative finance.
Implied volatility is the market's expectation of future volatility implied by the prices of options.
PCA (Principal Component ...
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Simplify and was interviewed before Jul 2023. There was 1 interview round.
(2 Questions)
- Q1. Tell me about your previous experience
- Ans.
I have over 5 years of experience in quantitative research, specializing in financial markets and data analysis.
Developed quantitative models to analyze market trends and predict future outcomes
Utilized statistical software such as R and Python to conduct data analysis
Published research papers on topics related to financial markets and investment strategies
- Q2. Have you ever worked with machine learning algorithms?
- Ans.
Yes, I have experience working with machine learning algorithms in various projects.
I have implemented supervised learning algorithms such as linear regression, logistic regression, and support vector machines.
I have also worked with unsupervised learning algorithms like k-means clustering and principal component analysis.
I have experience with deep learning algorithms such as neural networks and convolutional neural n...
Skills evaluated in this interview
Senior Quantitative Analyst Interview Questions & Answers
Wells Fargo
Satyajeet
posted on 3 Sep 2024
I applied via Referral and was interviewed in Aug 2024. There was 1 interview round.
Dataset and goal of the assignment was shared. Python coding and explanation in ML was expected.
Interview Preparation Tips
(1 Question)
- Q1. Tell me about your past work experience
Selected
I applied via LinkedIn and was interviewed before Jul 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Fixed income fundamentals
- Q2. Previous job functions
(2 Questions)
- Q1. Previous job functions
- Q2. Role in decision making
- Ans.
Quantitative analysts play a crucial role in decision making by providing data-driven insights and recommendations.
Utilize statistical models to analyze data and identify trends
Develop quantitative strategies to optimize decision making processes
Collaborate with stakeholders to understand business objectives and provide relevant analysis
Present findings and recommendations to support informed decision making
Selected
I was interviewed before Apr 2023.
(3 Questions)
- Q1. Difference VaR and ES
- Ans.
VaR measures the maximum potential loss within a confidence level, while ES measures the expected loss beyond VaR.
VaR stands for Value at Risk and measures the maximum potential loss within a specified confidence level.
ES stands for Expected Shortfall and measures the expected loss beyond the VaR.
VaR is a single point estimate, while ES provides a more comprehensive view of tail risk.
ES is considered more conservative ...
- Q2. List array difference
- Ans.
List the difference between two arrays of strings
Loop through each element in the first array and check if it exists in the second array
If an element is not found in the second array, add it to the difference array
Repeat the process for the second array to find elements in the first array that are not in the second array
- Q3. Arch and garch models
Skills evaluated in this interview
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JPMorgan Chase & Co. Quantitative Researcher Interview Process
based on 2 interviews
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