Lendingkart Risk Analyst Interview: Rounds, Questions and Preparation

What the job involves

A Risk Analyst in banking, finance, or insurance monitors credit, market, and operational risks to protect the institution from financial losses and regulatory penalties. Day to day, you will analyze loan portfolios, build risk models, prepare reports for management, and ensure compliance with RBI guidelines. At a company like Lendingkart, you might assess borrower creditworthiness using data-driven tools and recommend policy changes.

Role and technical knowledge

1. 1

   What are the key differences between credit risk, market risk, and operational risk in a lending company?

   Define each risk type with an example: credit risk from loan defaults, market risk from interest rate changes, operational risk from process failures. Mention how they are measured differently.

2. 2

   How would you calculate the non-performing asset (NPA) ratio for a loan portfolio?

   Explain NPA ratio as gross NPAs divided by gross advances, and mention sub-categories like substandard, doubtful, and loss assets. Reference RBI's 90-day overdue norm.

3. 3

   What is the purpose of a credit score, and how do factors like repayment history and credit utilization affect it?

   Describe credit score as a numerical summary of creditworthiness (e.g., CIBIL score). Highlight that repayment history and utilization are major components, and explain their impact on loan approval and interest rates.

4. 4

   Explain the concept of value at risk (VaR) and how it is used in market risk management.

   Define VaR as the maximum expected loss over a given time period at a confidence level. Mention its limitations, such as not capturing tail risk, and note its use in setting capital reserves.

Practical scenarios

1. 5

   A borrower with a good credit score starts missing EMIs. How would you investigate and mitigate the risk?

   Outline steps: check payment history, contact borrower for reasons, review financial statements, assess collateral, and consider restructuring or legal action. Emphasize early warning signals and portfolio monitoring.

2. 6

   You are asked to stress test a loan portfolio against a 200 basis point increase in interest rates. What approach would you take?

   Describe scenario analysis: estimate impact on default rates and profitability, use historical data or models, and identify vulnerable segments. Mention capital adequacy implications under Basel norms.

3. 7

   How would you detect potential fraud in loan applications using data analytics?

   Discuss anomaly detection, duplicate application checks, income verification, and pattern recognition. Mention tools like SQL queries, Python scripts, and rule-based systems.

4. 8

   If you find a discrepancy in a risk report that could lead to regulatory non-compliance, what would you do?

   Show integrity: escalate to supervisor, document findings, correct the report, and ensure proper disclosure. Highlight understanding of RBI reporting requirements.

Behavioral and situational

1. 9

   Describe a time when you had to analyze a large dataset to solve a problem. What tools did you use?

   Use STAR method: situation, task, action, result. Mention specific tools like Excel, SQL, or Python and quantify the outcome, such as time saved or accuracy improved.

2. 10

   Give an example of when you had to explain a complex financial concept to someone without a finance background.

   Focus on clarity and simplicity. Describe how you used analogies or visuals, and the positive outcome, such as the person making an informed decision.

3. 11

   Tell me about a time you worked under a tight deadline with incomplete information. How did you handle it?

   Emphasize prioritization, assumptions made, and communication with stakeholders. Show you can deliver a reasonable analysis despite uncertainty.

4. 12

   Why do you want to work in risk analysis, and how does a company like Lendingkart fit your career goals?

   Connect personal interest in finance and data to risk's role in enabling safe lending. Mention Lendingkart's focus on MSME lending and how you can contribute to responsible growth.

HR and fit

1. 13

   What do you know about Lendingkart's business model and its risk management challenges?

   Show research: Lendingkart provides working capital loans to MSMEs using alternate data. Discuss challenges like thin credit files and need for robust underwriting.

2. 14

   How do you stay updated with changes in RBI regulations and their impact on risk management?

   Mention sources: RBI website, financial news, webinars, and professional networks. Give an example of a recent regulation, such as new NPA norms, and its implications.

3. 15

   Where do you see yourself in three years in a risk analyst role?

   Show ambition but realism: aim to deepen expertise in credit risk modeling, gain certifications like FRM, and take on more complex portfolio oversight.

4. 16

   Are you comfortable working with large datasets and learning new software on the job?

   Affirm willingness and give examples of quickly picking up tools like Python or Tableau. Highlight adaptability and eagerness to contribute.