Скачать или смотреть My Response to Subscriber LinkedIn Query on Credit Risk Management & Risk

Subscriber Q&A: Future of Credit Risk Modeling with AI, Python & SAS

🎥 In this video, I answer a thought-provoking subscriber question on the future of credit risk modeling, especially in the era of AI, automation, and evolving tech like Python and cloud computing. We break it down into key themes:

Will AI replace credit risk modelers?

Is SAS still relevant, or is Python taking over?

What skills will keep you future-proof in this domain?

And does credit risk still hold long-term value?

🔍 What You’ll Learn:
🤖 How AI is changing (not replacing) credit risk modeling

💻 Why Python is overtaking SAS in many areas

📊 How to use AI tools for automation without losing your edge

🧠 Why human judgment remains irreplaceable in credit decisions

☁️ The growing need for cloud computing knowledge

📈 Importance of staying current with Basel norms and climate risk

🔄 The value of diverse skill sets (AI + Domain + Regulatory)

✨ Key Takeaway:
Credit risk modeling is not dead — it’s evolving.
Combine AI, coding, and regulatory expertise to stay ahead.

✅ Timestamps (Optional)
00:00 – Intro
01:30 – Can AI replace credit risk modeling?
04:20 – SAS vs Python: What’s changing?
06:10 – What skills make you future-ready?
08:45 – Why credit risk will still matter in 2030

🔔 Don’t forget to like, subscribe, and drop your questions in the comments — they might feature in the next Q&A!

#CreditRisk #AIinBanking #SASvsPython #IFRS9 #Basel4 #DataScience #FinanceCareers #CloudComputing #PromptEngineering #CreditRiskModeling