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Credit Model Interview Questions
60 credit model interview questions shared by candidates
Multiple questions on statistical proficiency within Credit Risk.
How do you get X XX XXX XXXX XXXXX in Python?
Questions from the 1 to 1 interview were: assumptions of OLS, methods of detecting outliers given data. Questions of the written test are from probability, statistics, risk management and programming. There were both theory and application type questions on the written test.
1. Explain PD, LGD, EAD 2. Python Questions: use 'describe' to show the dataframe's info 3. what is p-value 4. confidence interval 5. How to find outlier 6. VaR
What would you look at in determining whether to extend credit
Why did you further your study? What are different medallion of Data Architecture? Why Credit Modeling?
General, what do you know about credit risk modeling in the bank and the ECB and Basel regulations on it?
How does a bank work
What is the difference between capital and provision?
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