CASE STUDY N. 5

Case
Study
n.5

Type of client

Enterprise

Sector

Banking

Client requirements

System for fraud detection on stock exchange transactions

Solution

Implementation of a machine learning tool to identify fraudulent transactions in financial markets. The complexity of the functional requirement lies in the wide range of checks required and in the fact that the domain of each check is not the individual trade, but groups of trades which are not known in advance. The system raises alarm for stock/day pairs using daily stock market data and personal information as reference.

Applied technologies

Neural network

Python

Sql Server

Web Services

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