AI-Driven Adverse Media: A Risk-Based Approach at Scale
20th May 2021 | 11AM BST
20th May 2021 | 11AM BST
Adverse media (or Negative News) is a growing concern for financial institutions. The ability to pre-empt financial crime based on relevant information generated by millions of articles is becoming more important as the volume of news is ever increasing.
Traditional approaches reliant on keyword searches have proven ineffective and inefficient amidst growing volume of data sources and create gaps in compliance coverage. In this webinar, our expert panel will discuss how data, AI and Machine Learning technology can help close some of the existing gaps and how this technology works in practice, and ultimately, how that translates into global policy.
Join Blake Cuningham, Screening and Monitoring Lead Product Manager, ComplyAdvantage and industry experts Arin Ray, Senior Analyst, Celent, and Inês Sofia de Oliveira, Policy Analyst, FATF, as they discuss:
Arin Ray is a Senior Analyst with Celent based in the firm’s New York office with over a decade’s experience in tracking business, regulatory, and technology trends in financial services. He has published extensively on technology trends in financial crime compliance operations with specific focus on the role of next generation technology in combatting financial crime. His advisory engagements have included developing technology strategy, market entry and expansion strategy, and benchmarking studies for financial institutions and technology providers. Arin’s research and byline articles have been widely published in the news media and trade journals including the Wall Street Journal, Financial Times, Washington Post, Reuters, Euromoney, and BusinessWeek among others. Arin regularly speaks at conferences and other industry events on technology trends in risk and compliance.
Inês Oliveria is currently working on issues related to Digital Transformation in AML/CFT and the revision of Recommendation 24 on Beneficial Ownership. Prior to joining FATF, Inês worked at the AML/CFT enforcement department of the Portuguese Central Bank.
Inês has previous research and policy experience including with the London-based Centre for Financial Crime and Security Studies at RUSI. She also holds a PHD from the University of Edinburgh and taught international law and international relations at both the University of Edinburgh and St Andrews.
Blake has a background in data science and has helped to develop ComplyAdvantage’s machine learning products over the last 3 years. Previously he was an entrepreneur where he directly encountered the challenges of screening customers, and a management consultant where he worked with several financial services and technology companies. Originally trained as an economist, he sees a safe and trusted financial system as being paramount to improving economic outcomes.