Combating Market Abuse and Insider Trading
Extensive and Flexible Monitoring of Securities Trading
Market providers, market participants and brokers of securities transactions monitor their trading business with the module MAID (Market Abuse and Insider Dealing Detection) of the ACTICO Compliance Suite. In addition to internal requirements, the module also covers regulatory requirements. Based on adaptable standard scenarios, the automatic monitoring initiates necessary clarification processes. It can be flexibly supplemented by maintainable checks.
Digital Monitoring of the Fast-Moving, Difficult-to-Manage Trading Business
Machine Learning identifies unusual securities orders and uncovers new market abuse scenarios.
Standard Rules That Are Easy to Customize
Customizable standard rules map the monitoring scenarios and monitor the securities orders.
The module MAID is part of the ACTICO Compliance Suite, the comprehensive software for Compliance & Financial Crime Management.
"Aside from compliance with the legal requirements in relation to market abuse, we were particularly interested in using software that would enable us to be proactive as opposed to just reacting to events. After all, what could be worse for a bank than to lose its good name due to malpractice."
Stefanie Giger, Compliance Officer, LGT Bank
In Germany, banks are obliged to check staff’s private share deals. This becomes work-intensive if staff trade in financial instruments via third-party banks. They are obliged to create duplicate documentation of the transactions and report them to the employer bank. To keep workload and costs under control, banks are turning to digitisation.Download e.Paper
Because market manipulation and insider trading is illegal, financial institutions scrutinize securities trading for anomalies. Banks are constantly looking to automate the detection and processing of suspicious cases.Download whitepaper
Automating compliance tasks is the most effective way to cope when the rising tide of data and legislation threatens to overwhelm. And here, combining rules with artificial intelligence methods, like machine learning, is particularly crucial.Download whitepaper