Credit scoring, fraud detection, AML automation, risk management, and EU AI Act compliance for financial services professionals.
Financial services face unique AI challenges: credit scoring models must be fair and explainable, fraud detection must balance accuracy with false positives, and AML automation must meet strict regulatory requirements. Under the EU AI Act, AI systems used for creditworthiness assessment are classified as high-risk. This specialization covers the complete landscape from practical AI applications in banking to regulatory compliance, including EBA guidelines and the intersection of MiFID II with AI regulation.
This specialization includes 5 focused learning tracks
Introduction to AI in financial services: risk assessment, fraud detection, algorithmic trading, robo-advisory, and the modern financial AI landscape.
Explore how AI transforms credit decisions: alternative data scoring, explainability requirements, fair lending obligations, and bias detection in automated lending.
Master AI-powered regulatory technology: AML automation, transaction monitoring, reducing false positives, and meeting reporting obligations with AI.
Learn AI model risk management in finance: model validation, drift detection, stress testing, and managing systemic risks of AI-driven trading systems.
Everything you need to master AI in your sector
Common questions about this sector specialization