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e-con Systems Interview Questions and Answers

Updated 5 Sep 2024

Q1. What are mutable and immutable data types in Python?

Ans.

Mutable data types can be modified after creation, while immutable data types cannot be changed.

  • Mutable data types: lists, dictionaries, sets

  • Immutable data types: strings, tuples, integers

  • Example: list is mutable - myList = [1, 2, 3]; tuple is immutable - myTuple = (1, 2, 3)

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Q2. How do you rate a customer on the basis of credibility

Ans.

To rate a customer's credibility, we consider their payment history, credit score, references, and industry reputation.

  • Evaluate payment history and credit score

  • Check references and past work experience

  • Assess industry reputation and online presence

  • Consider any legal or financial issues

  • Use a scoring system or rating scale to quantify credibility

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Q3. What do you understand by clean code principles?

Ans.

Clean code principles refer to writing code that is easy to read, understand, and maintain.

  • Writing clear and descriptive variable names

  • Breaking down complex functions into smaller, more manageable pieces

  • Avoiding redundant or unnecessary code

  • Following consistent formatting and indentation

  • Writing comments to explain the purpose of the code

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Q4. How do you know the customer is going to default?

Ans.

Customer default can be predicted based on various factors.

  • Analyzing credit history and payment patterns

  • Assessing financial stability and debt-to-income ratio

  • Monitoring changes in employment status or income

  • Identifying external factors such as economic downturns or industry changes

  • Using predictive modeling and machine learning algorithms

  • Working closely with collections and risk management teams

  • Regularly reviewing and updating risk assessment strategies

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Q5. What is Significant increase in credit risk? Does SICR posses when an account moves from Stage 2 to Stage 3?

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Q6. What is PD, Cumilative PD, Marginal pd

Ans.

PD stands for Probability of Default, Cumulative PD is the sum of PD over time, Marginal PD is the change in PD for a small change in time.

  • PD (Probability of Default) is the likelihood that a borrower will default on a loan within a given time period.

  • Cumulative PD is the sum of PD over time, representing the total probability of default by a certain point in time.

  • Marginal PD is the change in PD for a small change in time, indicating how the probability of default is changing ...read more

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Q7. What is PD ?

Ans.

PD stands for Probability of Default, a measure used in credit risk analysis to estimate the likelihood of a borrower defaulting on a loan.

  • PD is a key metric used in credit risk assessment to determine the likelihood of a borrower defaulting on a loan.

  • It is expressed as a percentage and represents the probability of a borrower failing to meet their financial obligations.

  • PD is calculated based on various factors such as credit history, financial stability, and market condition...read more

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