Karbon Card Credit Risk Analyst Interview: Rounds, Questions and Preparation

What the job involves

A Credit Risk Analyst at a neobanking or insurtech company assesses the creditworthiness of small businesses and startups applying for corporate cards, working capital, or invoice financing. Day to day, you analyse financial statements, bank statements, GST filings, and bureau reports to set credit limits and pricing, while monitoring portfolio health and flagging early signs of default.

Role and Sector Knowledge

1. 1

   What does a credit risk analyst do differently at a neobanking or insurtech company compared to a traditional bank?

   Highlight speed, digital data sources (bank APIs, GST, e-commerce data), smaller ticket sizes, and continuous monitoring rather than annual reviews.

2. 2

   How does a corporate card product like Karbon Card manage credit risk without collateral?

   Explain that risk is managed through spend limits, real-time transaction monitoring, security deposits, personal guarantees, and dynamic limit adjustments based on repayment behaviour.

3. 3

   What are the key differences between assessing credit risk for a startup versus an established SME?

   Startups have limited history, negative cash flows, and depend on investor funding; SMEs have stable operations but may have informal financials. Mention runway, burn rate, and promoter quality for startups.

4. 4

   Why is GST data important for credit underwriting in India?

   GST returns show reported turnover, regularity of filing, and input tax credit patterns. They help verify bank statement inflows and detect under-reporting or circular trading.

Technical Credit Analysis

1. 5

   Given a company's balance sheet and P&L, which three ratios would you check first and why?

   Pick current ratio (liquidity), debt-to-equity (leverage), and interest coverage ratio (ability to service debt). Explain what each tells you about default risk.

2. 6

   How would you analyse a bank statement to assess a borrower's ability to repay a short-term credit line?

   Look at average daily balance, regularity of inflows, cheque bounces, EMI outflows, and whether inflows match declared sales. Flag high dependence on a single customer or frequent cash withdrawals.

3. 7

   What is a credit bureau score, and how would you use it along with your own analysis?

   Explain that CIBIL or similar scores summarise past repayment behaviour. Use it as a starting filter but not the only input; for new-to-credit businesses, rely more on bank and GST data.

4. 8

   What are early warning signals in a lending portfolio, and how would you set up a monitoring system?

   Mention delayed payments, sudden drop in bank balances, GST filing delays, frequent limit utilisation, and negative news. Suggest a monthly dashboard with alerts for these triggers.

Practical Scenarios and Case Questions

1. 9

   A small business applies for a Rs 5 lakh corporate card limit. Its bank statement shows healthy inflows but GST returns show lower turnover. What do you do?

   Do not reject immediately. Ask for clarification, check if some sales are exempt or from different entities, and consider a lower limit with a review after 3 months. Show structured thinking.

2. 10

   An existing borrower with a clean repayment history suddenly starts using 95% of their card limit and misses a small payment. How do you react?

   Treat it as an early warning. Call the borrower to understand the reason, check for any negative market news, and temporarily reduce the limit or ask for additional security until clarity emerges.

3. 11

   You have to choose between two borrowers: one with high turnover but thin margins, another with lower turnover but strong cash flows. Which is safer and why?

   Argue for the second borrower because strong cash flows indicate ability to repay. High turnover with thin margins is vulnerable to shocks. Show that you prioritise repayment capacity over size.

4. 12

   How would you price a loan for a risky but high-growth startup?

   Suggest a higher interest rate or fees to compensate for risk, but also consider a lower initial limit with a step-up based on performance. Mention that pricing must cover expected loss and cost of capital.

Behavioural and HR Questions

1. 13

   Tell me about a time you had to make a decision with incomplete information.

   Use a college project or internship example. Describe what data you had, what assumptions you made, and how you monitored the outcome. Show comfort with ambiguity.

2. 14

   Why do you want to work in credit risk at a fast-growing neobanking company rather than a large bank?

   Talk about wanting broad exposure, faster decision cycles, and the chance to build systems from scratch. Avoid saying you could not get into a bank.

3. 15

   How would you handle a situation where a sales colleague pressures you to approve a risky customer?

   Say you would listen to their rationale, explain the specific risks with data, and propose a middle ground like a lower limit or additional conditions. Emphasise that risk and sales both want sustainable growth.

4. 16

   Where do you see yourself in three years in this role?

   Show ambition to deepen credit knowledge, take ownership of a portfolio, and possibly move into a senior analyst or team lead role. Mention learning advanced analytics or automation.