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Credit Model Interview Questions
35 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 would you look at in determining whether to extend credit
How does a bank work
Why did you further your study? What are different medallion of Data Architecture? Why Credit Modeling?
What is the difference between capital and provision?
In-tray exercise, three IQ tests (verbal, number series and finding similarities between groups of figures), a general interview and a business case
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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