10+ Agratas Interview Questions and Answers

Top 5 customers of HSBC can be found by analyzing transaction history and account balances.

• Analyze transaction history of all HSBC customers worldwide

• Identify customers with highest transaction volumes and account balances

• Rank customers based on transaction volumes and account balances

• Select top 5 customers based on ranking

• Consider other factors such as creditworthiness and profitability

The average number of people coming to the airport daily can be calculated by taking the total number of people arriving and departing and dividing it by two.

• Collect data on the number of arrivals and departures for a given period, such as a week or a month.

• Add the number of arrivals and departures together to get the total number of people coming to the airport.

• Divide the total number by the number of days in the period to get the average number of people coming to the airpo...read more

Use online maps or directories to find the number of petrol pumps in the city.

• Search for petrol pumps on online maps like Google Maps or MapQuest.

• Use online directories like Yelp or Yellow Pages to find petrol pumps in the city.

• Check with local authorities or city websites for a list of petrol pumps in the area.

• Ask locals or taxi drivers for recommendations on petrol pumps in the city.

EMIR and SFTR are both regulatory frameworks for financial transactions, but they have different scopes and requirements.

• EMIR (European Market Infrastructure Regulation) focuses on OTC derivatives reporting and clearing obligations.

• SFTR (Securities Financing Transaction Regulation) focuses on reporting securities financing transactions, such as repurchase agreements and securities lending.

• EMIR covers a wider range of financial instruments and counterparties compared to SFTR.

• B...read more

Case study of a successful coffee shop in my area

• The coffee shop is located in a busy commercial area with high foot traffic

• They offer a wide variety of coffee options, including specialty brews and seasonal flavors

• The shop has a cozy and inviting atmosphere with comfortable seating and free Wi-Fi

• They have a loyalty program to encourage repeat customers

• The coffee shop actively engages with the local community through events and collaborations with other businesses

• They have a ...read more

Risk refers to the potential for loss or harm. Types include market risk, credit risk, operational risk, and more.

• Risk is the potential for loss or harm that may arise from various factors.

• Types of risk include market risk (fluctuations in market prices), credit risk (default by borrowers), operational risk (internal processes and systems), and more.

• Risk can also be categorized as systematic risk (affecting the entire market) and unsystematic risk (specific to a particular co...read more

Option geeks are individuals who have a deep understanding and interest in options trading and the financial markets.

• Option geeks are highly knowledgeable about options contracts, strategies, and pricing models.

• They often analyze market trends, volatility, and risk management techniques to make informed trading decisions.

• Examples of option geeks include professional traders, financial analysts, and individuals who actively trade options as a hobby.

List is mutable, tuple is immutable in Python.

• List can be modified after creation, tuple cannot.

• List uses square brackets [], tuple uses parentheses ().

• List is used for collections of items that may change, tuple for fixed collections.

• Example: list - [1, 2, 3], tuple - (1, 2, 3)

Data frames in pandas are two-dimensional, size-mutable, and potentially heterogeneous tabular data structures with labeled axes (rows and columns).

• Data frames are like spreadsheets or SQL tables with rows and columns.

• They can hold different types of data in each column.

• Data frames can be created from dictionaries, lists, or other data structures.

• Operations like filtering, merging, and grouping can be performed on data frames.

• Example: df = pd.DataFrame({'A': [1, 2, 3], 'B': [...read more