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Duration 14 hours
Course Outline
AI in Credit Risk: Foundations and Opportunities
- Comparing traditional versus AI-driven credit risk models
- Navigating challenges in credit assessment: bias, explainability, and fairness
- Practical case studies in AI-enabled lending
Data for Credit Scoring Models
- Data sources: transactional, behavioural, and alternative datasets
- Data cleansing and feature engineering for lending decisions
- Managing class imbalance and data scarcity in risk prediction
Machine Learning for Credit Scoring
- Techniques such as logistic regression, decision trees, and random forests
- Gradient boosting (LightGBM, XGBoost) for enhanced scoring accuracy
- Strategies for model training, validation, and tuning
AI-Driven Lending Workflows
- Automating borrower segmentation and loan risk assessment
- Enhancing underwriting and approval processes with AI
- Dynamic pricing and interest rate optimisation using ML
Model Interpretability and Responsible AI
- Explaining predictions using SHAP and LIME
- Ensuring fairness in credit models: bias detection and mitigation
- Compliance with regulatory frameworks (e.g. ECOA, GDPR)
Generative AI in Lending Scenarios
- Leveraging LLMs for application review and document analysis
- Prompt engineering for borrower communication and insights
- Generating synthetic data for model testing
Strategy and Governance for AI in Credit
- Developing internal AI capabilities versus adopting external solutions
- Best practices in model lifecycle management and governance
- Future trends: real-time credit scoring and open banking integration
Summary and Next Steps
Requirements
- A solid grasp of credit risk fundamentals
- Practical experience with data analysis or business intelligence tools
- Familiarity with Python, or a readiness to acquire basic syntax
Audience
- Lending managers
- Credit analysts
- Fintech innovators
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customised 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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