News.Bank.002 News.Bank.002

Context

Introduction

The rise of sophisticated deepfake technology has increased risks of identity fraud in the financial services industry. A leading financial institution is working to strengthen its fraud detection capabilities to safeguard customer assets and maintain trust.

Role

The learner takes on the role of a Fraud Detection Data Scientist within the bank's risk management team. Their responsibilities include analyzing transactional data, developing machine learning models to detect fraudulent patterns, and collaborating with compliance teams to ensure effective fraud prevention.

Business Objectives

The task is to enhance the bank's fraud detection system to quickly and accurately identify fraudulent transactions, including those involving deepfake-enabled identity theft. T

Products

The product includes a fraud detection model and dashboard that flags suspicious transactions in real-time, enabling rapid investigation and intervention.

Codebook

step, type, amount, nameOrig, oldbalanceOrg, newbalanceOrig, nameDest, oldbalanceDest, newbalanceDest, isFraud, isFlaggedFraud

Dataset

License

Tags

• CSV

Data Provenance

The dataset comes from a research paper and was used in a hackathon project. It has no citations or collection details and is released under the MIT license.