News.Bank.004 Equifax

Context

Introduction

A mysterious “coding issue” in Equifax’s AI-driven credit scoring system led to consumers receiving inaccurate credit scores in early 2022, illustrating risks within the financial services and data infrastructure industry.

Role

Business Objectives

The task is to proactively detect and mitigate data drift or coding defects in credit scoring pipelines before they affect consumers.

Products

Codebook

ID, Customer\_ID, Month, Name, Age, SSN, Occupation, Annual\_Income, Monthly\_Inhand\_Salary, Num\_Bank\_Accounts, Num\_Credit\_Card, Interest\_Rate, Num\_of\_Loan, Type\_of\_Loan, Delay\_from\_due\_date, Num\_of\_Delayed\_Payment, Changed\_Credit\_Limit, Num\_Credit\_Inquiries, Credit\_Mix, Outstanding\_Debt, Credit\_Utilization\_Ratio, Credit\_History\_Age, Payment\_of\_Min\_Amount, Total\_EMI\_per\_month, Amount\_invested\_monthly, Payment\_Behaviour, Monthly\_Balance

Dataset

License

Available Formats

• CSV

Data Provenance