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.
Competency Mapping
Category 5 = 7.00 Hours
Schedule & Fees
Date & Time
17 Oct 2025 (9:00 AM - 5:00 PM)
Fee (inclusive of GST)
SGD pricing -
For Members:
$ 406.57
For Non-Members:
$ 485.05
Programme Facilitator(s)
Team of Professionals (DGT101E)
Venue
Collyer Quay 20 Collyer Quay, #23-01,
Singapore 049319
Testimonial
Funding
No funding Available!
Programme Facilitator(s)
Dr. Lillian Koh, Ph.D
Founder and CEO of Fintech Academy
Dr. Lillian Koh was in the Ministry of Education for 17 years before teaching postgraduate courses at Nanyang Technological University (NTU). She was Faculty Associate at A*STAR and Principal Investigator of research grants at NTU.
She is the Founder and Chair of the Fintech Academy in Singapore, which spearheads talent development programmes and certifications for fintech, in collaboration with universities. She is Advisor to the Institute of Blockchain Singapore.
She is also the Director of the Center for Research and Innovation @ NTUitive, a spin-off of NTU and was the Chair of the Center of Financial Education at NTU in partnership with Citi and SGX. She was Advisor of NTU Investment Club too
Appointed International Consultant by the World Bank, she was also consultant to National Healthcare Group, Pearson, Citigroup and UNESCO. She was also Research Director for Curtin, Singapore.
Dr Koh is the editor and co-authored “Singapore: The Fintech Nation”, one of the first books about Singapore’s financial technology journey and the first International Handbook of Financial Literacy by Springer.
Dr Koh was also the Speaker on Future Ready Skills @ Talent Pavillion Singapore Fintech Festival 2021
Bryan Lee
Bryan is Fintech Academy’s Principal Training Consultant who is into Private Markets Data Solutions & Analytics for his core business.
In his current role, Bryan is focused on data management for both the private equity and real estate businesses. He is also experienced in driving enterprise-wide data projects in the financial services industry, previously with United Overseas Bank and Credit Suisse in Singapore and Hong Kong.
Bryan is a Certified Information Management Professional. He is also an adjunct faculty member at an Institute of Higher Learning in Singapore.
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.
Competency Mapping
Category 5 = 7.00 Hours
Programme Facilitator(s)
Dr. Lillian Koh, Ph.D
Founder and CEO of Fintech Academy
Dr. Lillian Koh was in the Ministry of Education for 17 years before teaching postgraduate courses at Nanyang Technological University (NTU). She was Faculty Associate at A*STAR and Principal Investigator of research grants at NTU.
She is the Founder and Chair of the Fintech Academy in Singapore, which spearheads talent development programmes and certifications for fintech, in collaboration with universities. She is Advisor to the Institute of Blockchain Singapore.
She is also the Director of the Center for Research and Innovation @ NTUitive, a spin-off of NTU and was the Chair of the Center of Financial Education at NTU in partnership with Citi and SGX. She was Advisor of NTU Investment Club too
Appointed International Consultant by the World Bank, she was also consultant to National Healthcare Group, Pearson, Citigroup and UNESCO. She was also Research Director for Curtin, Singapore.
Dr Koh is the editor and co-authored “Singapore: The Fintech Nation”, one of the first books about Singapore’s financial technology journey and the first International Handbook of Financial Literacy by Springer.
Dr Koh was also the Speaker on Future Ready Skills @ Talent Pavillion Singapore Fintech Festival 2021
Bryan Lee
Bryan is Fintech Academy’s Principal Training Consultant who is into Private Markets Data Solutions & Analytics for his core business.
In his current role, Bryan is focused on data management for both the private equity and real estate businesses. He is also experienced in driving enterprise-wide data projects in the financial services industry, previously with United Overseas Bank and Credit Suisse in Singapore and Hong Kong.
Bryan is a Certified Information Management Professional. He is also an adjunct faculty member at an Institute of Higher Learning in Singapore.