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BNY Senior Data Management Analyst Interview Questions, Process, and Tips

Updated 26 Sep 2023

BNY Senior Data Management Analyst Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Approached by Company and was interviewed in Aug 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

It was easy with basic financial background questions

Round 3 - Technical 

(5 Questions)

  • Q1. Difference between TWRR and MWRR
  • Ans. 

    TWRR measures the compound rate of return over multiple sub-periods, while MWRR measures the rate of return over a single period.

    • TWRR considers the impact of cash flows during the investment period, while MWRR does not.

    • TWRR is more suitable for evaluating the performance of a portfolio over time, while MWRR is more suitable for evaluating the performance of a single investment.

    • TWRR is also known as the time-weighted ra...

  • Answered by AI
  • Q2. Does TWRR use cashflows
  • Ans. 

    Yes, TWRR does use cashflows to calculate investment performance.

    • Time-Weighted Rate of Return (TWRR) takes into account the impact of cashflows on investment performance.

    • Cashflows are factored in to accurately measure the return on investment over time.

    • TWRR is commonly used in the finance industry to evaluate the performance of investment portfolios.

    • For example, if an investor adds or withdraws funds from their portfol...

  • Answered by AI
  • Q3. What is attribution
  • Ans. 

    Attribution is the process of identifying and assigning credit to various touchpoints in a customer's journey that led to a desired outcome.

    • Attribution helps businesses understand the effectiveness of different marketing channels and campaigns.

    • Common attribution models include first touch, last touch, linear, and U-shaped.

    • Example: If a customer sees an ad on social media, then clicks on a Google ad, and finally makes a...

  • Answered by AI
  • Q4. How do you load instruments information
  • Ans. 

    Instruments information is loaded by extracting data from various sources and importing it into a centralized database.

    • Extract data from external sources such as spreadsheets, databases, APIs, etc.

    • Transform the data into a standardized format suitable for the database.

    • Load the transformed data into the database using ETL tools or scripts.

    • Verify the accuracy and completeness of the loaded information.

    • Update the database...

  • Answered by AI
  • Q5. Which is better TWRR or MWRR and why
  • Ans. 

    TWRR is better for measuring the performance of a portfolio over time, while MWRR is better for comparing the performance of different portfolios.

    • TWRR (Time-Weighted Rate of Return) is better for evaluating the performance of a portfolio over time as it eliminates the impact of external cash flows.

    • MWRR (Money-Weighted Rate of Return) is better for comparing the performance of different portfolios or investment options ...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for BNY Senior Data Management Analyst interview:
  • MySQL
Interview preparation tips for other job seekers - Be clear with your basics on performance measurement and attribution

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Sql tableau python
Round 2 - Technical 

(1 Question)

  • Q1. Tableau python power bi
Round 3 - HR 

(1 Question)

  • Q1. Salary discussion
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(4 Questions)

  • Q1. Types of Chunking in data preparation in RAG
  • Q2. How Embedding works in Vector Databases
  • Q3. Explain ARIMA model
  • Q4. How can we decide to choose Linear Regression for a business problem
Round 2 - Technical 

(4 Questions)

  • Q1. What is token and it's limit for Open Source LLMs
  • Q2. Difference of a Regression and Time Series problem
  • Q3. Advantage of LSTM over RNN
  • Q4. Performance Metrics for Logistic Regression
Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at Indian Institute of Technology (IIT), Jodhpur and was interviewed in Jun 2024. There was 1 interview round.

Round 1 - One-on-one 

(3 Questions)

  • Q1. What is p value?
  • Ans. 

    A p-value is a measure used in statistical hypothesis testing to determine the strength of evidence against the null hypothesis.

    • A p-value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

    • A p-value is compared to a significance level (usually 0.05) to determine if the null hypothesis should be rejected.

    • A p-value less than the significance level indicates st

  • Answered by AI
  • Q2. Tell the output a**2
  • Ans. 

    The output of a**2 is the square of the value of a.

    • The output is the value of a multiplied by itself

    • For example, if a = 3, then the output would be 9 (3*3)

  • Answered by AI
  • Q3. Difference between append() and concat
  • Ans. 

    append() adds elements to a single DataFrame, while concat() combines multiple DataFrames.

    • append() is a method used to add rows to a DataFrame.

    • concat() is a function used to combine multiple DataFrames along a particular axis.

    • append() modifies the original DataFrame, while concat() returns a new DataFrame.

    • Example: df1.append(df2) vs pd.concat([df1, df2])

  • Answered by AI
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - Technical 

(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

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. Data Warehousing related questions
Round 3 - Behavioral 

(1 Question)

  • Q1. Data Modelling related questions

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(5 Questions)

  • Q1. Questions on DBMS,ML,SQL,PLSQL,OOPS
  • Q2. What is polymorphism
  • Ans. 

    Polymorphism is the ability of a function or method to behave differently based on the object it is acting upon.

    • Polymorphism allows objects of different classes to be treated as objects of a common superclass.

    • It enables a single interface to be used for different data types or classes.

    • Examples include method overloading and method overriding in object-oriented programming.

  • Answered by AI
  • Q3. Polymorphism is abstraction in object oriented lagnguage used for providing too may forms to single entity
  • Q4. What is the major issue you faced inml project
  • Q5. What is your biggest strength

Interview Preparation Tips

Interview preparation tips for other job seekers - dont be nervous , be confident
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Apr 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Asked about skillsets & tools used in the current job. I was asked basic questions on SQL & Tableau
Round 2 - Coding Test 

Detailed interview on SQL, Tableau & Alteryx

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. Money you want for this position
  • Q2. Why to choose this position and not another
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at Madras School of Economics, Chennai and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Asked questions from python and SQL

Round 2 - Technical 

(2 Questions)

  • Q1. What are tupples
  • Ans. 

    Tuples are ordered collections of elements, similar to lists but immutable.

    • Tuples are created using parentheses ()

    • Elements in a tuple can be of different data types

    • Tuples are immutable, meaning their elements cannot be changed once created

  • Answered by AI
  • Q2. What is credit risk
  • Ans. 

    Credit risk refers to the potential loss that a lender may incur due to a borrower's failure to repay a loan or meet their financial obligations.

    • Credit risk is the risk of default on a debt that may arise from a borrower failing to make required payments.

    • It is a key consideration for banks and financial institutions when lending money.

    • Factors that contribute to credit risk include the borrower's credit history, financi...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be crisp with points and don't linger with answers

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. How would you analyze data using python
  • Ans. 

    Data analysis in Python involves importing data, cleaning and preprocessing, performing statistical analysis, and visualizing results.

    • Import data using libraries like pandas

    • Clean and preprocess data by handling missing values and outliers

    • Perform statistical analysis using libraries like numpy and scipy

    • Visualize results using libraries like matplotlib and seaborn

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Why would you want to join our organisation

Interview Preparation Tips

Interview preparation tips for other job seekers - Answer to point

Skills evaluated in this interview

BNY Interview FAQs

How many rounds are there in BNY Senior Data Management Analyst interview?
BNY interview process usually has 3 rounds. The most common rounds in the BNY interview process are Resume Shortlist, Aptitude Test and Technical.
How to prepare for BNY Senior Data Management Analyst interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at BNY. The most common topics and skills that interviewers at BNY expect are Data Modeling, Data Warehousing, Database Design, Distribution System and Financial Services.
What are the top questions asked in BNY Senior Data Management Analyst interview?

Some of the top questions asked at the BNY Senior Data Management Analyst interview -

  1. How do you load instruments informat...read more
  2. Which is better TWRR or MWRR and ...read more
  3. Difference between TWRR and M...read more

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BNY Senior Data Management Analyst Salary
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₹13.5 L/yr - ₹18 L/yr
6% less than the average Senior Data Management Analyst Salary in India
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