Castille Institute is pleased to share with you the following Data Analysis for Fraud Detection and Prevention Course delivered by Mark Fenech on the 17 September 2018.
This course is designed to get participants quickly acquainted with various Data Analysis techniques for Fraud Detection and Prevention. From Data Collection and Preparation to Descriptive and Predictive Analytics the course material is delivered through easy-to-understand presentations that are conducive to learning and that encourage participants to take valuable knowledge and best practices back to their workplace.
Programme Outline includes:
The Data Mining Process
Descriptive Analytics Techniques
Predictive Analytics Techniques
With over 20 years of experience in the IT and Financial Services industry, Mark Fenech heads the IT Audit Team within a local bank. Ranging from technical, less technical and outright non-technical domains, Mark’s skills extend across multiple disciplines required within IT Auditing, IT Risk Management, Cybersecurity and other various IT Management Processes. Biography - Mark Fenech Mark is a Certified Information Systems Auditor (CISA, ISACA), Certified in Risk and Information System Controls (CRISC, ISACA), holds certifications in Cybersecurity (CSX, ISACA) and in the Governance and Management Framework for Enterprise IT (COBIT, ISACA), is a Member of the Business Continuity Institute (MBCI), holds a Teacher’s Warrant from the Council for the Teaching Profession, and is also a Competent Communicator (CC, Toastmasters International). In addition, Mark holds a BSc in Mathematics and Computer Science from the University of Malta, and an MBA from the Maastricht School of Management. He is also a seasoned Public Speaker and speaks frequently on a variety of topics for educational purposes and for raising awareness within different entities.
Countering Money Laundering: Compliance, Investigation and Management / Module 3: Detection and Investigation - Online Course (Live Session):
8.30am until 5.00pm
Countering Money Laundering: Compliance, Investigation and Management / Module 4: Management and Governance - Online Course (Live Session):
8.30am until 5.00pm
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