Quess IT Staffing Solutions Interview Questions and Answers

Shrinkage can be calculated by dividing the difference between actual and expected values by the expected value.

• Calculate expected value of a variable

• Calculate actual value of the same variable

• Subtract actual value from expected value

• Divide the difference by expected value to get shrinkage percentage

• Example: If expected sales are $100,000 and actual sales are $80,000, the shrinkage percentage is 20%

Service level is calculated by dividing the number of calls answered within a certain time frame by the total number of calls received.

• Determine the time frame for which you want to calculate the service level

• Count the number of calls received during that time frame

• Count the number of calls answered within the specified time frame

• Divide the number of calls answered by the total number of calls received and multiply by 100 to get the service level percentage

• For example, if you...read more

Yes, I am open to relocate. Ideally within the next 2-3 months.

• I am willing to relocate for the right opportunity

• I am flexible with the timeline, but ideally within the next 2-3 months

• I am open to discussing relocation packages and assistance

A help desk kiosk system for a bank to assist customers with their queries and transactions.

• Include touch screen interface for easy navigation

• Provide options for common banking tasks such as account balance check, fund transfer, bill payment

• Integrate with bank's database for real-time information

• Offer language options for multilingual customers

• Include a printer for transaction receipts

Implementing a transaction fraud detection system

• Utilize machine learning algorithms to analyze transaction patterns and detect anomalies

• Implement real-time monitoring to flag suspicious transactions

• Utilize historical data to train the system and improve accuracy

• Implement multi-factor authentication for high-risk transactions

• Collaborate with financial institutions and law enforcement agencies to share information and improve fraud detection