Best ChatGPT prompts for Loan Officers

Given a loan application with the following characteristics: loan amount $200,000, borrower credit score 720, debt-to-income ratio 0.35, and loan term 30 years, analyze the application using a combination of the Altman Z-score model and a sensitivity analysis to determine the likelihood of default, and provide a detailed report including the calculated risk metrics and a recommendation for approval or rejection.

Using a dataset of 1000 existing mortgages with variables including loan amount, interest rate, loan term, borrower credit score, and payment history, perform a cluster analysis to identify patterns and correlations between these variables, and then use the results to develop a predictive model that can identify the top 20% of mortgages that are most likely to be prepaid or refinanced within the next 12 months, and provide a list of these mortgages along with their associated probability of prepayment or refinancing.

Conduct a comprehensive review of the loan origination process to ensure compliance with relevant regulations, including the Truth in Lending Act (TILA) and the Real Estate Settlement Procedures Act (RESPA), and identify any potential vulnerabilities or deficiencies in the process, providing a detailed report that includes a list of recommended corrective actions and a timeline for implementation.

Given a borrower's financial statement with the following information: income $80,000, expenses $40,000, assets $200,000, and liabilities $50,000, perform a detailed analysis of the borrower's financial situation, including calculation of the debt-to-income ratio, cash flow analysis, and assessment of creditworthiness, and provide a concise report that includes a recommendation for loan approval or rejection, along with suggested loan terms and conditions.