Credit Risk Analytics with ChatGPT Training in Copenhagen, Denmark

The Credit Risk Analytics with ChatGPT Training is a practical, business-focused program designed to help professionals use ChatGPT to support credit risk analysis, reporting, documentation, and decision support.

The course shows how ChatGPT can assist with data interpretation, risk assessment narratives, policy documentation, portfolio analysis summaries, and regulatory-style reporting, while ensuring human oversight, compliance, and responsible use.

This training is ideal for credit analysts, risk managers, bankers, finance professionals, compliance teams, and lending operations staff.

Introduction to AI in Credit Risk Analytics

• Role of AI in modern credit risk management

• Where ChatGPT fits in credit risk workflows

• Benefits and limitations of AI for risk analysis

• Human oversight and accountability in risk decisions

Credit Risk Fundamentals

• Types of credit risk (retail, corporate, SME, sovereign)

• Key credit risk concepts (PD, LGD, EAD – conceptual)

• Credit lifecycle: origination to collections

• Regulatory and governance context (high-level)

Using ChatGPT for Credit Data Interpretation

• Explaining financial ratios and trends

• Interpreting spreadsheet outputs

• Turning raw data into risk insights

• Asking ChatGPT for structured explanations

Credit Memo & Case Write-Ups

• Drafting credit appraisal notes

• Structuring credit memos

• Writing risk strengths and weaknesses

• Creating management-ready summaries

Financial Statement Analysis Support

• Income statement, balance sheet, cash flow interpretation

• Trend and variance explanation

• Ratio analysis narratives

• Identifying potential red flags

Borrower & Counterparty Risk Profiling

• Creating borrower risk profiles

• Industry and sector risk summaries

• Qualitative risk factor documentation

• Management and business model assessment support

Portfolio Risk Monitoring & Reporting

• Summarizing portfolio performance

• Identifying concentration risks

• Drafting portfolio risk dashboards (narrative)

• Management and committee reporting support

Early Warning Signals & Risk Indicators

• Common early warning indicators

• Summarizing delinquency and trend reports

• Explaining changes in risk metrics

• Supporting proactive risk review

Stress Testing & Scenario Narratives

• Explaining stress test results (conceptual)

• Writing scenario impact summaries

• Comparing base vs stress cases

• Management-level scenario communication

Policy, Procedure & Documentation Support

• Drafting and updating credit policies

• SOP and guideline documentation

• Standardizing risk language

• Improving consistency across documents

Regulatory & Audit Support

• Summarizing regulatory guidance

• Preparing audit-ready documentation

• Drafting responses to audit queries

• Supporting compliance narratives

Risk Communication for Stakeholders

• Writing committee papers

• Executive summaries for CRO/management

• Explaining risk to non-technical stakeholders

• Clear and defensible communication

Automation & Templates for Credit Teams

• Creating reusable prompt templates

• Standard formats for credit memos

• Portfolio reporting templates

• Reducing repetitive documentation work

Security, Privacy & Responsible AI in Finance

• Handling confidential financial data

• What not to share with AI tools

• Data protection and internal policies

• Model risk and governance considerations

Hands-on Exercises

Summary and Conclusion