Банки

The banking industry operates under constantly growing regulatory pressure: capital requirements, stress testing, credit, market, and operational risk management, and model risk oversight — at a time when more and more decisions are made using ML and AI models. An error in a model, or an insufficiently transparent validation process, is no longer just an operational risk today — it's a reputational and regulatory one as well.

QRAXIOM.PRO brings together specialists and organizations working on credit, market, and operational risk, asset-liability management (ALM), capital calculation and planning, stress testing, model risk, and data and AI in a banking context. Here you'll find concrete cases: how a validation process was built for a credit scoring ML model, how a portfolio stress test was conducted under macroeconomic uncertainty, how governance was set up for AI solutions inside a bank's risk function.

Training programs for the banking track focus on practical risk management and model governance problems, not just theoretical foundations. Technology solutions for banks — from scoring systems to model-risk platforms — are featured in the AI_TECH section with an honest description of their applicability and limitations.

Banks and organizations connected to the banking sector can get a verified profile, publish jobs, cases, and training programs, and take part in the platform's industry initiatives — after confirming Verified Organisation status and agreeing on publication terms.