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Course Outline
AI in Credit Risk: Foundations and Opportunities
- Traditional versus AI-powered credit risk models
- Challenges in credit evaluation: bias, explainability, and fairness
- Real-world case studies of AI applications in lending
Data for Credit Scoring Models
- Data sources: transactional, behavioral, and alternative data
- Data cleaning and feature engineering for lending decisions
- Addressing class imbalance and data scarcity in risk prediction
Machine Learning for Credit Scoring
- Logistic regression, decision trees, and random forests
- Gradient boosting (LightGBM, XGBoost) for scoring accuracy
- Techniques for model training, validation, and tuning
AI-Driven Lending Workflows
- Automating borrower segmentation and loan risk assessment
- AI-enhanced underwriting and approval processes
- Dynamic pricing and interest rate optimization using ML
Model Interpretability and Responsible AI
- Explaining predictions with SHAP and LIME
- Fairness in credit models: bias detection and mitigation
- Compliance with regulatory frameworks (e.g., ECOA, GDPR)
Generative AI in Lending Scenarios
- Utilizing LLMs for application review and document analysis
- Prompt engineering for borrower communication and insights
- Synthetic data generation for model testing
Strategy and Governance for AI in Credit
- Developing internal AI capabilities versus adopting external solutions
- Best practices for model lifecycle management and governance
- Future trends: real-time credit scoring, open banking integration
Summary and Next Steps
Requirements
- A foundational understanding of credit risk
- Experience with data analysis or business intelligence tools
- Familiarity with Python or a willingness to learn basic syntax
Target Audience
- Lending managers
- Credit analysts
- Fintech innovators
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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Testimonials (1)
Trainer was very knowledgeable and easy to speak to
