HSBC Electronic Data Processing Manager Interview Questions and Answers

Q1. Asked about my previous company, CTC, if relevant experience is there for the required job, scheduled interview for next one-on-one round.
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Q1. 1. Tell me about yourself 2. Risk handled with Stakeholder, RM and Internal Management. 3. Improvement areas in JD shared. 4. Any tough situations handled with RM or Stakeholder in career.
Ans. 
Experienced manager with strong risk management skills, adept at handling stakeholders and internal management, and proven track record of navigating tough situations.
• Successfully managed a high-risk project by collaborating closely with stakeholders to mitigate potential issues

• Implemented a new risk management strategy that improved project outcomes and stakeholder satisfaction

• Handled a difficult stakeholder by active...read more
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Good questions on aptitude and statistics were asked

Group discussion were held

Q1. Difference between pop and remove in python
Ans. 
pop() removes and returns the last element of a list, while remove() removes the first occurrence of a specified value.
• pop() modifies the original list, while remove() only removes the specified value

• pop() requires an index as an argument, while remove() requires the value to be removed

• pop() returns the removed element, while remove() does not return anything
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Q2. Difference between shallow copy and deep copy
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Q1. Explain linear regression, cost function, Ridge and Lasso regression
Ans. 
Linear regression is a statistical technique to model the relationship between a dependent variable and one or more independent variables.
• Linear regression is used to predict a continuous outcome variable based on one or more predictor variables.

• The cost function measures the difference between the predicted values and the actual values in linear regression.

• Ridge regression is a regularization technique that adds a pen...read more
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Q2. Explain missing value treatment
Ans. 
Missing value treatment refers to the process of handling and managing missing values in a dataset.
• Missing values can occur when data is not collected or recorded for certain observations or variables.

• Common methods for missing value treatment include deletion, imputation, and prediction.

• Deletion involves removing observations or variables with missing values, but this can lead to loss of information.

• Imputation replace...read more
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Q3. Difference between mean, median and mode
Ans. 
Mean is the average of a set of numbers, median is the middle value, and mode is the most frequently occurring value.
• Mean is calculated by summing all the values and dividing by the number of values.

• Median is the middle value when the numbers are arranged in ascending or descending order.

• Mode is the value that appears most frequently in the set of numbers.

• Mean is affected by outliers, while median and mode are not.

• For ...read more
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Questions around Anti Money Laundering

Q1. Culture fit round to see if my goals are aligned to company's goal
Ans. 
I believe in aligning personal and organizational goals for mutual growth and success.
• Shared Vision: I aim to contribute to a culture that prioritizes patient care, similar to how I led a team to improve patient satisfaction scores by 20%.

• Collaboration: I value teamwork and have successfully implemented cross-departmental projects that enhanced operational efficiency.

• Continuous Learning: I am committed to professional ...read more
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Q2. Where do you see yourself in 5 years?
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Q1. To tell about regulatory reporting and RWA
Ans. 
Regulatory reporting is the process of providing information to regulatory bodies. RWA is a measure of a bank's risk exposure.
• Regulatory reporting involves submitting data to regulatory bodies such as the SEC or FINRA.

• This data includes financial statements, risk assessments, and other information required by regulators.

• RWA stands for Risk Weighted Assets and is a measure of a bank's risk exposure.

• It is calculated by a...read more
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Q2. Other control should be placed in any activity.
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