Artificial Intelligence for Effective Market and Trade Surveillance

 Over the course of FY17–21, the U.S. Securities and Exchange Commission (SEC) brought enforcement actions against 700–850 odd corporations and people, levying average fines of $1.2 billion per year. 1 During the same time period, the Financial Conduct Authority (FCA) of the United Kingdom assessed $233 million in fines to about 14 businesses and individuals annually. 2 Such incidents keep happening and show no signs of stopping. Then the industry is put under more pressure as new regulations are introduced such as capital market surveillance systems or existing ones are changed. Over the course of FY17–21, the U.S. Securities and Exchange Commission (SEC) brought enforcement actions against 700–850 odd corporations and people, levying average fines of $1.2 billion per year. 1 During the same time period, the Financial Conduct Authority (FCA) of the United Kingdom assessed $233 million in fines to about 14 businesses and individuals annually. 2 Such incidents keep happening and show no signs of stopping. Then the industry is put under more pressure as new regulations are introduced or existing ones are changed.


Trade Surveillance


Market Complexity Makes Rule-Based Systems Ineffective

Trading in financial instruments is a very complicated process. Novel asset classes, such as cryptocurrencies, new stock-purchasing strategies, such as fractional trading, and mobile-first or mobile-only platforms are all part of it. Post-pandemic, trading volumes have also increased. A record 10 million new trading accounts were opened in the United States in 2020.

A number of trade monitoring mandates must be complied with by financial institutions (FIs) is helpful for risk management. For instance, the Dodd-Frank Swaps Surveillance law mandates that banks respond to requests for replays of deals and the conversations that go along with them within 72 hours.

Holistic Surveillance Is Ensured by Ai-Based Solutions.

AI-based solutions and monitoring surveillance software have the capacity to process both organized and unstructured data, automatically adjust to changing regulatory requirements, and immediately report suspicious events.

Comprehensive Communication Surveillance

To spot fraudulent trading practices, audio, video, and other technological interactions must be under constant surveillance. Using tone, jargon, slang, idioms, and code words, AI-based systems may contextualize material to reveal genuine purpose. According to this monitoring, risk scores are automatically assigned to specific transactions, market participants, asset classes, and marketplaces.

Efficient Alert and Risk Management

Businesses are constantly changing how they assess and control conduct risk. As a result of adjustments to the strategic business model, metrics may need to be revised. Escalation routes and governance within the Senior Managers Regime may also need to be examined, as well as the senior managers' risk appetite statements and thresholds.

Shield is aware of every aspect of the compliance team's everyday efforts, that's why they developed remarkably clever and effective methods such as market abuse surveillance, eComms surveillance, monitoring surveillance software, and others to achieve next-generation compliance because of this.

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