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Credit Model Interview Questions
19 credit model interview questions shared by candidates
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 is the difference between capital and provision?
Q: If I give you a time series of prices, how would you calculate the volatility?
Q: Explain Ito's Lemma
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