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Encore | How the Cloud and Machine Learning Have Transformed FINRA Market Surveillance

Encore | How the Cloud and Machine Learning Have Transformed FINRA Market Surveillance

FromFINRA Unscripted


Encore | How the Cloud and Machine Learning Have Transformed FINRA Market Surveillance

FromFINRA Unscripted

ratings:
Length:
22 minutes
Released:
Jun 25, 2019
Format:
Podcast episode

Description

Every day, FINRA processes roughly 66.7 billion market events. This includes stock orders, modifications, cancellations and trades from the moment orders are placed, as they move through the markets and are executed. And FINRA not only processes a massive amount of data each day, but also must analyze it to uncover misconduct.
How does FINRA surveille this enormous volume of data to find instances of abusive activity? With exceedingly sophisticated technology and highly adept analysts in FINRA’s Market Regulation and Transparency Services group. Today we sit down with Tom Gira the head of the department and a 25-year veteran of FINRA.
Tom explains how FINRA’s use of technology, specifically the cloud and machine learning, has improved FINRA’s quality of regulation, furthering the organization’s mission of market integrity and investor protection.
This episode originally aired in July 2018.
Resources mentioned in this episode:
Options Clearing Corporation
FINRA Market Regulation
FINRA Ad Hoc Committees
12: How the Cloud Has Revolutionized FINRA Technology
Released:
Jun 25, 2019
Format:
Podcast episode

Titles in the series (100)

FINRA Unscripted is the voice of the nation’s largest non-government securities regulator. We bring together FINRA leaders to discuss existing and emerging regulatory topics that impact the broker-dealer industry. We share best practices for compliance officers, insights into the operations of a 3,500 person self-regulated organization and educational tools and information for investors. Every investor in America relies on one thing: fair financial markets. That is what FINRA works every day to ensure.