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A Complimentary Webinar Discussion:

Financial Crime Series | UK Edition

Advanced Analytics:
Pivotal for AML and Financial Crime Professionals

Scaling new Technologies from Experimentation to Operationalization

Wednesday, 7 October 2020

2pm Central European Time | 1pm British Summer Time

Produced in Partnership with

About This Webinar

With new regulations and more scrutiny (and lookback requests) from regulators, coupled with increasingly sophisticated criminal schemes, many of the current AML / Financial Crime prevention processes have become obsolete. Financial institutions must come together to develop collaborative approach to information sharing and boost efficiency across their anti-financial crime programs to successfully face these challenges.

Advanced analytics technologies – including machine learning, graph analytics, and natural language processing – offer tremendous potential to augment the processes. Yet, while these technologies have been a hot topic for a number of years now, for many financial institutions they remain in the pilot phase or confined to siloed initiatives.  

In this webinar, we will discuss practical examples of how to leverage these technologies to improve all aspects of anti-money laundering programs, including customer due diligence, transaction monitoring and behaviour detection, and case management. We will show you how to take these technologies from pilot to scale and achieve cost efficiency.

 

Join this webinar to hear an expert panel share insights that will help you:

  • Examine emerging AML and FC risks highlighted by COVID-19 and increased digitisation

  • Explore advanced analytics technologies – machine learning, graph analytics, and natural language processing – to achieve efficiency and compliance

  • Algorithm Transparency – How can you explain the results? Understand the algorithms that govern decision making when it comes to financial crime prevention

  • Overcome Operational Challenges and How you are managing data Privacy while scaling up AI and ML deployment

  • Learn the best strategies and practices (including data sharing) to combat emerging threats

Webinar Panel
Katarina Cook

Head of Financial Crime, MLRO

Francisco Mainez

Head of Data & Analytics, Business Financial Crime Risk, Wealth and Personal Banking

Marta Lia Requeijo

Head of Financial Crime & MLRO

Saurav Banerjee

Innovation Lead, Financial Crime Prevention

Matthew Tataryn

Head of Financial Crime

James Lovatt

Regional Head of Anti-Money Laundering Europe & Asia-Pacific

Frédéric Boulier

Global Head of Financial Crime and Compliance Management Solution Consulting

 
 
Image by Alex Tai

During this 60 minute webinar the Webinar Panelists will:

 
Examine emerging AML and FC risks highlighted by COVID-19 and increased digitisation
Explore advanced analytics technologies – machine learning, graph analytics, and natural language processing – to achieve efficiency and compliance
Algorithm Transparency – How can you explain the results? Understand the algorithms that govern decision making when it comes to financial crime prevention
Overcome Operational Challenges and How you are managing data Privacy while scaling up AI and ML deployment
Learn the best strategies and practices (including data sharing) to combat emerging threats
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About
Oracle Financial Crime and Compliance Management: Protect the Integrity of Your Financial Institution

For over 20 years, our mission has been to create a safer world. We help financial institutions fight money laundering and achieve compliance with the industry's most effective and efficient suite of end-to-end anti-money laundering solutions, backed by unrivaled data management, advanced analytics, and a powerful platform. 

71-75 Shelton Street,

Covent Garden,
London, WC2H 9JQ

+44(0)20 3946 3244

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