By registering to this course, you agree to ISCA Privacy and Data Protection Policy at http://isca.org.sg/privacy-and-data-protection-policy and that ISCA may collect, use and/or disclose your personal data for matters relating to the enrolment of the course in accordance with the Personal Data Protection Act 2012. The Institute may from time to time use your personal data to inform you of related news, activities, benefits, goods, services, facilities and events. The Institute may also use your personal data for the conduct of statistical research and studies, and analyse the data collected to administer, develop and improve its services. For the purpose of event coverage, photography (and videography) will be in progress during the event. Please inform the photographers (or organiser) if you do not wish for your photographs to be taken. Further, you agree that ISCA may disclose your Personal Data to Fintech Academy for the purpose of processing your enrolment and course administration, which shall be subject to their policy - https://fin.edu.sg/privacyandpolicy/.

To empower finance and banking professionals with knowledge and skills to leverage AI in fraud prevention, risk management, and anti-money laundering (AML) processes. This programme is tailored to provide participants with practical skills in using AI tools, data analytics, and case studies relevant to the finance and banking sectors, enabling them to detect and mitigate financial risks effectively.

At the end of this course, you will be able to:

• Understand the fundamentals of AI applications in fraud prevention and risk management.
• Prepare and model data for fraud detection using AI-driven analytics.
• Utilise AI techniques to identify patterns, detect anomalies, and assign risk scores in financial transactions.
• Apply case studies to understand real-world applications of AI in Banking, Procurement and AML.
• Ensure AML compliance through AI-supported processes, aiding in regulatory adherence and risk mitigation.

Programme Outline

Introduction to AI for Fraud Detection and Risk Management

• Overview of risk management and how AI is transforming fraud prevention and risk management practices, along with key AI concepts relevant to financial security.

Data Preparation and Modeling for Fraud Detection

• Hands-on session on preparing and modeling data, focusing on techniques like anomaly detection, predictive analytics, and clustering used in fraud and AML contexts.

Case Study: AI-Driven Fraud Detection in Banking

• Deep dive into real-world case studies demonstrating successful applications of AI in fraud detection, covering both technical approaches and practical outcomes in finance and banking.

Risk Scoring and AML Compliance Using AI

• Practical session on using AI to assess risk scores and support AML compliance processes, with a focus on regulatory requirements and the use of generative AI for insights and pattern recognition.

Case Study: Detecting Procurement Fraud in Vendor Contracts

• Examine a real-world case study on leveraging AI for procurement fraud detection in vendor contracts, highlighting challenges, solutions, and impactful outcomes.

Training Methodology
Lecture-style training with hands-on exercises, including case studies and practical applications to reinforce learning.
 

Closing Date for Registration 

1 Week before Programme or Until Full Enrolment.  

Intended For

Professionals in finance, accounting, and banking seeking to enhance their skills in fraud detection, risk management, and AML.

Programme Facilitator(s)