How Banks Build Credit Scorecards in 2025 | 8-Step Development Methodology Explained (Part 2)

Описание: Welcome to Rajat Kumar – Credit Risk & Banking 🚀

Banks lose BILLIONS every year due to bad loans — but in this video, you’ll understand how banks actually assess and manage Credit Risk, just like HDFC, ICICI, and global investment banks do.

This beginner-to-advanced Credit Risk breakdown (2026) explains the complete banking ecosystem, from retail loans to large investment banking capital raises. Perfect for absolute beginners, finance students, FRM aspirants, and professionals preparing for banking & analytics interviews.

🔍 What You Will Learn:

👉 The 4 key types of Credit Risk Scorecards: Acquisition, Behavior, Collection & Fraud
👉 How banks use Application Scorecards to approve/reject loans at onboarding
👉 Why Behaviour Scorecards are crucial for managing existing customers
👉 The Credit Risk Management Lifecycle (Planning → Acquisition → Service → Collection → Write-off)
👉 8 essential steps to build a professional Application Scorecard (from data prep to validation)
👉 Real-world best practices for underwriting, model calibration, and validation
👉 How banks segment customers, reduce risk, and make smarter lending decisions

🎯 Who Should Watch This:

✅ Students preparing for Banking Analytics & Risk roles
✅ Professionals in Credit Risk / Risk Modeling / Risk Analytics
✅ Data Scientists entering the financial services sector
✅ Anyone curious about how banks measure and manage loan risk

⏱️ Timestamps:

00:30 – Introduction to 4 types of scorecards
03:46 – Application Scorecards in loan underwriting
04:18 – Behaviour Scorecards for existing customers
06:00 – Credit risk management lifecycle explained
14:48 – 8 steps to build an Application Scorecard
24:22 – Model validation with Gini, KS, PSI

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🙋 About Me:

I’m Rajat Kumar, a Credit Risk & Analytics professional with 13+ years of experience, sharing practical banking knowledge from beginner to expert level.

🔗 Useful Links:

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