Job Description
Precision in Lending. Innovation in Finance.
A Credit Risk Analyst at Paytm doesn’t just look at credit scores; they build the algorithms that define them. You will work with massive datasets to identify patterns of fraud or default, ensuring that Paytm’s lending books remain healthy while scaling rapidly.
✨ Drive Highlights & Quick Details
| Detail | Information |
| Role Name | Credit Risk Analyst |
| Location | Noida, Uttar Pradesh (HQ) |
| Industry | FinTech / Digital Payments / Lending |
| Qualification | B.E / B.Tech (NIT, BITS, or Reputed Institutes) |
| Experience | Fresher – 3 Years |
| Salary (CTC) | ₹4.0 – ₹12.0 LPA (Based on experience/pedigree) |
| Core Skills | SQL, Python/R, Probability, Statistics, Data Visualization |
Keyword Focus: Paytm Noida Hiring 2026, Credit Risk Analyst Salary Paytm, Paytm Recruitment for NIT BITS Freshers, FinTech Risk Management Jobs, Paytm Postpaid Risk Team Hiring.
💡 The Role: The Architect of Financial Trust
Your primary objective is to minimize the “Probability of Default” ($PD$) across various lending products. Your daily tasks will involve:
- Risk Modeling: Developing and monitoring scorecards to assess the creditworthiness of new-to-credit (NTC) customers.
- Data Analytics: Using SQL and Python to slice through millions of transactions to find lead indicators of financial stress.
- Policy Formulation: Defining “Cut-off” scores for loan approvals. You might use a simplified Expected Loss ($EL$) formula to guide decisions:$$EL = PD \times LGD \times EAD$$(Where $PD$ is Probability of Default, $LGD$ is Loss Given Default, and $EAD$ is Exposure at Default).
- Monitoring: Tracking the performance of the loan portfolio and adjusting risk parameters in real-time based on market trends.
📝 Selection Process: The Analytical Filter
Paytm’s risk team values “Mathematical Rigor” and “Business Intuition.”
- Stage 1: Online Analytical Test:
- Quantitative Aptitude: Heavy focus on Probability, Statistics, and Puzzles.
- Data Interpretation: Reading complex charts and deriving business insights.
- Stage 3: Technical Interview 1 (Case Study):
- You will be given a lending scenario. Example: “If a user has a high transaction volume but low balance, would you increase their credit limit? Why?”
- Stage 4: Technical Interview 2 (SQL/Coding):
- Live SQL queries (Joins, Aggregations) and basic Python data manipulation (Pandas/NumPy).
- Stage 5: Director/HR Round:
- Focus on your understanding of the Indian FinTech landscape and your ability to handle high-pressure environments.
➡️ How to Apply for Paytm Credit Risk Role
- Direct Link: Submit your application through the official hiring link: Apply Now – Paytm Off Campus.
- Resume Tip: Highlight your Statistical projects. If you’ve used Logistic Regression or Decision Trees in any college project, ensure they are prominently listed.
- Showcase Pedigree: Since the listing specifically mentions NIT/BITS or reputed institutes, ensure your college name and CGPA are clearly visible in the header.
- FinTech Awareness: Be ready to discuss “BNPL” (Buy Now Pay Later) trends and how digital lending differs from traditional banking.