Gen AI for AML Risk Management

Programme Overview

Artificial Intelligence (AI) is revolutionizing the practice of risk and compliance within the financial services industry, and it is important that managers can differentiate between types of AI application and apply appropriate solutions to enhance processes and align with regulatory requirements that are becoming increasingly stringent.

 

Artificial Intelligence & Machine Learning for Compliance Risk Management bridges the knowledge gap that exists for many risk and compliance leaders and other professionals around AI technology and its application within the management of compliance risks. Participants will learn about the evolution and global adoption of AI, Machine Learning, Deep Learning, Generative AI, and Large Language Models: the essential foundation information that Risk and Compliance Managers must know when considering and challenging AI solutions in real-world business settings.  

 

Total Training Duration: 12 CPD hours
Core SFA/FAA CPD: 4 hours
Classroom Hours: 12
Preparatory Hours: 4

Course

By the end of this module, participants will be able to

  • Explain the fundamentals of Artificial Intelligence
  • Describe and explain when to use Machine Learning vs Deep Learning vs Generative AI
  • Outline how AI is being used to improve anti-money laundering (AML), fraud prevention and compliance
  • Analyze the risks associated with AI and create mitigating control strategies
  • Develop strategies to ensure AI adoption within their organization is compliant with Singapore regulatory frameworks and guidance 

Download programme brochure

Who Should Attend

This course is designed for finance professionals with at least 3 years of relevant experience focusing on risk management including compliance, legal, enterprise/operational risk, audit professionals and those in control functions in the 1.5 line of defence. It is also relevant for external lawyers, consultants and accountants advising the financial services sector.

Useful Links

Certification

Participants who successfully complete the programme will be awarded: 

Accreditation

Accreditation

IBF Accreditation

 

For more information on the IBF-STS, please visit www.ibf.org.sg/home/for-financial-institutions/resource-tools/skills-framework-for-financial-services.

Certification

Certification

About IBF Certification

 

This course addresses the following Technical Skills and Competencies (TSCs) and proficiency level:

  • Generative Artificial Intelligence (PL3)

 

Participants are encouraged to access the IBF MySkills Portfolio (https://www.ibf.org.sg/programmes/Pages/MySkills-Portfolio.aspx) to track their training progress and skills acquisition against the Skills Framework for Financial Services. You can apply for IBF Certification after fulfilling the required number of Technical Skills and Competencies (TSCs) for the selected job role.

 

Find out more about IBF certification and the application process on https://www.ibf.org.sg/certification/Pages/Why-be-Certified.aspx

Note:

Prices shown are based on the prevalent IBF-STS subsidies. T&Cs apply.

 

Click here to read more about the terms & conditions governing registration, payment, cancellation, deferment and no-show.

 

Eligible SG citizens may utilise SkillsFuture Credit to offset course fees. This is only applicable for the regular SkillsFuture Credit, and not applicable for the SkillsFuture Credit (Mid-Career) additional top-up funding.

#Unfunded course fee refers to the balance course fee payable after applicable government subsidies. This may include materials fees, registration fees and misc fees. 

 

The information above is correct at the time of publication. Wealth Management Institute reserves the right to amend the fees and/or terms and conditions as appropriate.

Schedule

Gen AI for AML Risk Management - 21 & 22 October 2025
Modules

Testimonials

Testimonials

Upcoming Dates

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