ChatGPT for Credit Risk: Data and Analytics Projects

• Basic understanding of credit risk concepts
• Experience in data analysis or analytics projects
• No prior experience with ChatGPT is required

Audience

• Analytics and data teams from credit risk units
• Credit risk managers exploring AI-driven solutions
• Professionals implementing data and analytics projects in microfinance

ChatGPT is a state-of-the-art conversational AI model that can assist in data analysis, portfolio management, and project implementation within the credit risk domain.

This instructor-led, live training (online or onsite) is aimed at beginner-level and intermediate-level analytics and data professionals who wish to leverage ChatGPT for portfolio analysis, data project implementation, and analytics project execution in credit risk management.

By the end of this training, participants will be able to:

• Understand the fundamentals of ChatGPT and its applications in credit risk.
• Perform portfolio analysis using ChatGPT’s natural language capabilities.
• Implement data and analytics projects with ChatGPT assistance.
• Streamline decision-making processes using ChatGPT in the credit risk workflow.
• Identify best practices for integrating ChatGPT into risk management strategies.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to ChatGPT

• What is ChatGPT? Key features and capabilities
• Overview of conversational AI in credit risk
• Setting up ChatGPT for risk management projects

Portfolio Analysis with ChatGPT

• Analyzing loan portfolios with natural language queries
• Generating portfolio summaries and insights
• Case studies: ChatGPT in portfolio risk assessment

Implementing Data Projects with ChatGPT

• Streamlining data preparation and cleaning with ChatGPT
• Using ChatGPT for feature engineering and variable selection
• Hands-on exercises: Building a dataset for credit risk analysis

Implementing Analytics Projects with ChatGPT

• Exploratory data analysis with ChatGPT
• Automating report generation and presentations
• Creating predictive models with ChatGPT integration

Enhancing Decision-Making in Credit Risk

• Using ChatGPT for scenario analysis and stress testing
• Developing decision support tools with ChatGPT
• Optimizing risk strategies using AI-driven recommendations

Best Practices and Ethical Considerations

• Ensuring data privacy and compliance with ChatGPT
• Managing biases in AI-driven analytics
• Integrating ChatGPT responsibly into risk management workflows

Hands-on Exercises

• Querying ChatGPT for portfolio insights
• Generating an automated risk report
• Building a prototype AI-driven risk management tool

Future Opportunities

• Advanced applications of ChatGPT in microfinance
• Emerging AI trends in credit risk and analytics
• Pathways for further learning and specialization

Summary and Next Steps