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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.
Investment

Price per private group, online live training, starting from £3200 + VAT*

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