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MLRO Certification
The MLRO Certification is a comprehensive training session focused on enhancing skills and knowledge related to Money Laundering Reporting Officer (MLRO) roles in the UK financial sector. It aims to equip attendees with the necessary knowledge and skills to effectively fulfill MLRO responsibilities while fostering compliance, professional growth, and industry networking.
Format
Online
trainer led sessions
Starting date
March 21st - May 6th
11am-2pm GMT+1
Duration
6 x 3 hour sessions
Price
Early Bird: $449 USD
$599 USD
WHAT YOU ARE GOING TO LEARN
Course Structure
Part 1: The Role of an MLRO - March 21st
I. Introduction
Part 2: Global Regulatory Landscape
I. Introduction
- The role of an MLRO - overview of the role and expectations
- Experience, skillsets and qualifications
- Regulatory appointment requirements
Part 2: Global Regulatory Landscape
I. Regulatory Landscape
- Comparative overview of various global regulatory financial Crime regulators and rulebooks
- UK Focused - FCA regulations related to Financial Crime
- Recent updates and changes in regulatory requirements including case law and news articles for risk awareness in new and emerging risks
Section b: Automaed Procedures
I. Introduction to Automated Controls
I. Introduction to Automated Controls
- Define automated controls and their role in compliance
- Importance of automated controls in detecting and preventing compliance risks
- Overview of the compliance officer's role in reviewing automated controls
Speakers
Oonagh van den Berg
CEO & Founder of RAW Compliance
About
Oonagh van den Berg is an award winning compliance officer with over 20 years’ experience in financial services. She is one of the leading voices and trainers globally in compliance risk management and has built and led various compliance risk framework developments and teams across the industry for a diverse range of financial entities, including traditional banks, Fintechs, and Crypto firms. She is an advocate for ethical compliance leadership and framework development, with increased automation including AI and Machine Learning integration.