AI-Powered Credit Risk Assessment

Get a practical, one-sitting blueprint for transforming credit risk assessment with AI. This micro course connects the dots between advanced machine learning models and ethical, transparent decision-making in lending. You’ll see how to modernise credit scoring, incorporate alternative data sources, and apply explainable AI for regulatory compliance and customer trust. We’ll cover real-time risk monitoring to protect portfolios, plus techniques for mitigating bias and ensuring fairness in algorithmic decisions. Finish with an action plan you can apply to your organisation the same day.

You’ll learn how to:

• • Modernise credit scoring with advanced machine learning models

• • Use social, mobile, and utility data for alternative credit assessment

• • Apply explainable AI (XAI) for transparent and compliant credit decisions

• • Monitor and adjust credit risk in real time to protect portfolio health

• • Reduce bias and improve fairness in AI-driven credit decisioning

Who it’s for: Credit risk analysts, lending managers, compliance officers, data scientists, and product teams in financial services who want a concise, actionable guide to AI-powered credit risk management.

Course Content

1. 1. Course Overview

1. 1. Modernising Credit Scoring with Machine Learning Models

1. 1. Alternative Credit Scoring Using Social, Mobile, and Utility Data

1. 1. Explainable AI for Credit Decisions (XAI Models)

1. 1. Real-Time Risk Adjustment and Portfolio Exposure Insights

1. 1. Fairness and Bias Mitigation in Credit Decisioning

1. 1. Conclusion