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Course Outline
AI in Credit Risk: Core Concepts and Potential
- Conventional vs AI-driven credit risk models
- Navigating credit evaluation challenges: bias, explainability, and fairness
- Practical case studies on AI in lending
Data for Credit Scoring Models
- Data sources: transactional, behavioral, and alternative datasets
- Data cleansing and feature engineering for lending decisions
- Addressing class imbalance and data limitations in risk prediction
Machine Learning for Credit Scoring
- Logistic regression, decision trees, and random forests
- Gradient boosting (LightGBM, XGBoost) for enhanced scoring precision
- Model training, validation, and tuning methods
AI-Powered Lending Workflows
- Automating borrower segmentation and loan risk evaluation
- AI-augmented underwriting and approval procedures
- Dynamic pricing and interest rate optimization via ML
Model Interpretability and Responsible AI
- Clarifying predictions using SHAP and LIME
- Fairness in credit models: identifying and mitigating bias
- Aligning with regulatory standards (e.g. ECOA, GDPR)
Generative AI in Lending Contexts
- Leveraging LLMs for application assessment and document analysis
- Prompt engineering for borrower engagement and insights
- Generating synthetic data for model testing
AI Strategy and Governance in Credit
- Developing in-house AI capabilities vs adopting external solutions
- Best practices for model lifecycle management and governance
- Emerging trends: real-time credit scoring and open banking integration
Recap and Future Directions
Requirements
- Foundational knowledge of credit risk principles
- Proficiency with data analytics or business intelligence platforms
- Comfort with Python or a commitment to learning basic syntax
Target Audience
- Lending managers
- Credit analysts
- Fintech specialists
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 3200 € + VAT*
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Testimonials (1)
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