Webclass 89: 3rd Party Risk Management and KYC KYT basic tests

Q1. How might you automatically check if your third-parties have a website?

Q2. Why might you be interested to see if there are third-parties that have similarities, such as the same address, telephone number or bank account?

Q3. Why might you want to use correlation?

Q4. Which python package could we use to check if your third-party has the name of an individual rather than a company?

Q5. Why might we want to use a network diagram?

Q6. Which graph did most of the people on the webclass find to be the most useful in terms of finding cases of customers that have unusual transactions compared to their habitual transactions?

Q7. Why does the comparison of the average to the maximum transaction value not give us all the information we need to immediately see if the transaction is unusual?

Q8. Why might we want to make the size of a bubble on a scatter diagram equal to 1/ the number of transactions?

Q9. On a scatter plot of value versus average per customer, would we expect all points for the same customer to be in a vertical line?