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Citicorp Summer Analyst [finance/ Analytics/ Consulting] Interview Questions and Answers
Citicorp Summer Analyst [finance/ Analytics/ Consulting] Interview Experiences
2 interviews found
Summer Analyst [finance/ Analytics/ Consulting] Interview Questions & Answers
Havishma Haranath
posted on 13 Sep 2017
I was interviewed in Sep 2017.
Interview Questionnaire
2 Questions
- Q1. Why did you choose Citi?
- Q2. Tell me about yourself?
Interview Preparation Tips
Experience: The basis on which Resume shortlist had been done is unknown.
Round: Test
Experience: A lot of emphases placed on Coding and Programming.
Tips: 12th level Mathematics and basic English understanding are sufficient for the other sections.
Duration: 2 hours
Round: Technical + HR Interview
Tips: Be true to your intentions. Make sure that you explain your thought process clearly.
Skills: Logical Reasoning, Programming
College Name: IIT Madras
Summer Analyst [finance/ Analytics/ Consulting] Interview Questions & Answers
Anonymous
posted on 13 Sep 2017
I was interviewed in Sep 2017.
Interview Questionnaire
2 Questions
- Q1. Why do you want to join Citi?
- Q2. Why do you think the coding profile suits you?
- Ans.
I believe the coding profile suits me because of my strong analytical skills, problem-solving abilities, and passion for technology.
I have a strong background in mathematics and logic, which are essential for coding.
I enjoy solving complex problems and finding efficient solutions.
I have experience in programming languages such as Python and Java.
I have successfully completed coding projects in the past, demonstrating m...
Interview Preparation Tips
Experience: The basis on which Resume shortlist had been done is unknown.
Round: Test
Experience: A lot of emphases placed on Coding and Programming. 12th level mathematics and general understanding of English is sufficient for the other sections.
Tips: Be thorough with the basics.
Duration: 2 hours
Round: Technical + HR Interview
Experience: The flow of questions correlated with the type of responses given.
Tips: Be true to your intentions and try to not get nervous. Make sure that you explain your thought process.
Skills: Logical Reasoning, Programming
College Name: IIT Madras
Interview questions from similar companies
Summer Analyst [finance/ Analytics/ Consulting] Interview Questions & Answers
Morgan Stanley
Anonymous
posted on 10 Nov 2021
I applied via campus placement at University of Mumbai, Mumbai and was interviewed before Nov 2020. There was 1 interview round.
Interview Questionnaire
4 Questions
- Q1. Tell me about yourself
- Q2. What are the key leadership skills that are present?
- Q3. If not the particular line, what other job would you like to pursue?
- Q4. How did you spend your time during the pandemic to develop yourself?
Interview Preparation Tips
Summer Analyst [finance/ Analytics/ Consulting] Interview Questions & Answers
JPMorgan Chase & Co.
Rashmi Ravishankar
posted on 6 Nov 2016
I applied via campus placement at Indian Institute of Technology (IIT), Chennai
Interview Questionnaire
6 Questions
- Q1. How would you find the square root of a number using code? (Answer: Binary Search)
- Q2. Check if a linked list is looped onto itself (Answer: Hashmaps)
- Ans.
To check if a linked list is looped onto itself, we can use hashmaps.
Create an empty hashmap
Traverse the linked list, for each node check if it already exists in the hashmap
If a node already exists, it means the linked list is looped
If the traversal completes without finding a loop, the linked list is not looped
- Q3. Prove that p^2-1 is divisible by 8. Divisible by 24? (p is a prime) Is this true for all primes?
- Ans.
p^2-1 is divisible by 8 and 24 for all primes.
To prove p^2-1 is divisible by 8, consider the possible remainders of p when divided by 8.
To prove p^2-1 is divisible by 24, consider the possible remainders of p when divided by 24.
For all primes, p^2-1 will always be divisible by 8 and 24.
- Q4. How many cuts needed to divide a cube into 27 smaller cubes. Explain your logic. (Answer: 6)
- Q5. What is the probability that three unbiased dices to roll such that a>b>c. Extrapolate to five random number generators (1 to n)
- Ans.
Probability of rolling three unbiased dices such that a>b>c and extrapolating to five random number generators.
The probability of rolling three unbiased dices such that a>b>c is 1/216.
To extrapolate to five random number generators, we need to calculate the probability of generating five random numbers such that the first is greater than the second, the second is greater than the third, and so on.
The probability of gen...
- Q6. 50 red marbles, 50 blue marbles. 2 jars in a room. Divide the marbles into the 2 jars such that you maximise the probability that a blind man picks up a red marble
- Ans.
To maximize the probability of picking a red marble, divide the marbles unevenly, with more red marbles in one jar.
Place 49 red marbles and 1 blue marble in one jar, and the remaining 1 red marble and 49 blue marbles in the other jar.
This way, the blind man has a higher chance of picking the jar with 49 red marbles and 1 blue marble.
The probability of picking a red marble from the first jar is 49/50, while from the sec
Interview Preparation Tips
Experience: Good. No glitches.
Tips: I had made a specific resume for Analytics/ Finance/ Consult profile. Since I had absolutely no economics coursework to talk about, I included a line about interests and wrote "economics, current affairs and languages" under that heading. I think my Data Analytics course and knowledge of quite a few programming languages helped. The 3 main categories in my CV were Academics, Co curricular, and Leadership.
Round: Technical Interview
Experience: Extremely good experience- I was out of the country and they accommodated my needs and video interviewed me. More importantly, there was an audio glitch that we couldn't diagnose- the interviewers were very patient and used Whatsapp call for the entire audio portion of the interview!
Tips: Stay calm, and tell them what you are thinking in clear terms. This way, even if you don't get the final answer, you will be given points for your thought process. I actually approached quite a few problems incorrectly, but since I was explaining my thoughts to them, they quickly helped me course correct by giving hints, and I took it forward from there.
Round: Other Interview
Experience: Again, very good experience! Accommodated my being in a different timezone very well.
Tips: Same as interview one.
General Tips: Stay calm, and prepare "walk me through your CV" properly.
Skill Tips: Study Probab, Geeksforgeeks, etc.
Skills: Probability Concepts, Algorithms And Data Structures, Basic Coding, Ability To Analyse
Duration: 2
College Name: IIT Madras
Motivation: Dream company!
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Sep 2024. There were 4 interview rounds.
Basic aptitude questions
Data structure and algorithms
(1 Question)
- Q1. Java, SQL questions
(1 Question)
- Q1. Casual talk about roles
I applied via Walk-in and was interviewed in Apr 2024. There were 3 interview rounds.
(2 Questions)
- Q1. What is lazy evaluation in spark.
- Ans.
Lazy evaluation in Spark delays the execution of transformations until an action is called.
Lazy evaluation allows Spark to optimize the execution plan by combining multiple transformations into a single stage.
Transformations are not executed immediately, but are stored as a directed acyclic graph (DAG) of operations.
Actions trigger the execution of the DAG and produce results.
Example: map() and filter() are transformat...
- Q2. What is mapreduce
- Ans.
MapReduce is a programming model and processing technique for parallel and distributed computing.
MapReduce is used to process large datasets in parallel across a distributed cluster of computers.
It consists of two main functions - Map function for processing key/value pairs and Reduce function for aggregating the results.
Popularly used in big data processing frameworks like Hadoop for tasks like data sorting, searching...
(1 Question)
- Q1. What is skewness and skewd tables
- Ans.
Skewness is a measure of asymmetry in a distribution. Skewed tables are tables with imbalanced data distribution.
Skewness is a statistical measure that describes the asymmetry of the data distribution around the mean.
Positive skewness indicates a longer tail on the right side of the distribution, while negative skewness indicates a longer tail on the left side.
Skewed tables in data engineering refer to tables with imba...
(1 Question)
- Q1. What is spark and explain working
- Ans.
Spark is a distributed computing framework designed for big data processing.
Spark is built around the concept of Resilient Distributed Datasets (RDDs) which allow for fault-tolerant parallel processing of data.
It provides high-level APIs in Java, Scala, Python, and R for ease of use.
Spark can run on top of Hadoop, Mesos, Kubernetes, or in standalone mode.
It includes modules for SQL, streaming, machine learning, and gra...
Interview Preparation Tips
- Big Data
Skills evaluated in this interview
Saurabh Gupta
(1 Question)
- Q1. PartitionBy vs bucketBy in spark
Selected
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
(1 Question)
- Q1. Explain error handling in PySpark
- Ans.
Error handling in PySpark involves using try-except blocks and logging to handle exceptions and errors.
Use try-except blocks to catch and handle exceptions in PySpark code
Utilize logging to record errors and exceptions for debugging purposes
Consider using the .option('mode', 'PERMISSIVE') method to handle corrupt records in data processing
(1 Question)
- Q1. Data Warehousing related questions
(1 Question)
- Q1. Data Modelling related questions
Skills evaluated in this interview
(1 Question)
- Q1. Why RDBMS over Non RDBMs
I applied via LinkedIn and was interviewed in Mar 2024. There were 2 interview rounds.
Coding questions on sql python and spark
(2 Questions)
- Q1. Hacker rank code pair
- Ans.
Implement a function to pair elements of an array based on a given sum.
Iterate through the array and check if the current element plus any other element equals the given sum.
Use a hash set to store elements already visited to avoid duplicate pairs.
Return an array of arrays containing the pairs that sum up to the given value.
- Q2. Pyspark questions
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