We are a team of students working for BNPP on a use case. This use case involves developing a coorporate fraud detection model which aims to achieve the following:

• High performance and accuracy
• Explainable/Interpretable results

The proposed model involves the use of different machine learning methods to achieve the requirements. Explanation on these methods can be found here:

• Dataset: Code for dataset simulation and creation mimicking coorporate transactional bank data
• Exploration: Notebooks for model and conceptual exploration and validation
• Model: Actual implemented model for usage