1. Machine learning algorithms on resume 2. Evaluation of models and performance metrics 3. If there is a 45% probability of default, how will you think about the credit policy for that individual? What information would you demand from that person? It was an open-ended question to know how much I knew about the credit industry. 4. Do you have knowledge of payday loans? 5. Why would you choose this algorithm over that algorithm for certain type of data?
Why apply for credit risk division and your former experience and research projects
How would you be an asset to our company?
python problems and mcq on puzzles and sql
How much experience did I have with escheaent?
Tell me about a time you refused a task you felt was unsafe. Why did you refuse?
Sometime, they ask you to spot differences in figures - aptitude test
i didnt finshed the interview procress yet as a new graduate, but on the simulation they let you to listen a phone record to typped it down the key info and what they are missing
Experience with underwriting and/or customer service
How do you handle stress
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