Recent News
FINRA Roundup: Guidance on Private Placements, Digital Assets, Virtual Hearings, and Proposals
Since our last regulatory update on the adoption of FINRA’s proposal to align its suitability and non-cash compensation rules with Regulation Best Interest (“Reg BI”), the self-regulatory organization issued guidance on private placement communications, recommended that firms provide information to them on digital assets, and proposed a series of new rule changes. Bates examines the details of FINRA’s updated guidance.
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8/13 CLE: Capital Market Uncertainty in the Time of COVID-19 and Potential Legal & Regulatory Impact
Join Bates Group’s next CLE Webinar on Thursday, August 13th, 2020, “Capital Market Uncertainty in the Time of COVID-19 and the Potential Litigation and Regulatory Impact” when we look at 2020 in the context of past bear markets, compare the 1918 influenza pandemic to today, discuss the sectors and industries hardest hit by the economic disruption, and potential capital market-related litigation and regulatory enforcement matters on the horizon. Featuring (L-R) co-moderators Jack McGuire of Oppenheimer & Co. and Esther Cho of Keesal, Young & Logan, along with Greg Kyle, Bates Group Director and Expert. REGISTER HERE
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Bates Group, Complidata Bring Expertise and A.I. Technology Together to Optimize AML and Compliance
Bates Group and Complidata today announced a partnership to combine leading financial crime industry expertise and Artificial Intelligence (A.I.) technology together in a joint approach to assist financial institutions with tuning and optimizing their anti-money laundering operations and compliance. Based in Belgium, Complidata is a leader in the use of A.I. to drive automation and optimization for improved regulatory compliance. The partnership will assist financial institutions with the tuning and optimization of their transaction monitoring and sanctions and name screening systems — significantly increasing efficiencies and effectiveness in their processes and procedures while reducing the percentages of false-positive alerts.
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