Programme for Machine Learning Bangkok

Programme for Machine Learning Bangkok

Regtech: Data, Risk and Compliance

May 12-13, Bangkok

Day 1 - May 12, 2020

08:30

Registration

09:00

Technology, Security and Regulation: Introduction & Overview Summary

  • What is Regtech?
  • Analysis of how AI/ML plays a role in regulation and security as twin methodologies for managing and reducing risk in financial services
  • How Regtech fits into different functions of financial services
  • How Regtech ranges across the entire compliance spectrum
    • KYC/AML
    • Transaction monitoring
    • Regulatory reporting
    • Surveillance and conduct risk

10:30

Morning break

11:00

Prudential Risk Management Framework

  • Creating and managing regulatory change management frameworks within your company
    • Key communication surveillance
    • Financial crime compliance
  • How to ensure best risk management in;
    • Financial risk
    • Non-financial risks
  • Ensuring a group risk taxonomy

12:30

Lunch

13:30

Developing Data & Challenges of Regulatory Reporting

  • Developing and implementing global harmonised;
    • Data quality and governance
    • Semantically accurate & simple language
    • Big data, data privacy and data management
  • Data readiness and standard in financial institutions for Regtech
  • Value of data from Regtech
  • Emerging data protection and privacy rules
  • The challenges with regulatory reporting today
  • Reporting and training tools including data management for transactions, contracts and cases of litigation

15:00

Afternoon break

15:30

Fraud, Crimes and Security

  • Cybersecurity- Data and Related Technologies
  • Cybersecurity - Human Related Issues
  • AML/CFT surveillance technologies
  • E-KYC

17:00

End of Day 1

Day 2 - May 13, 2020

08:30

Refreshments

09:00

Compliance with financial requirements & government regulations

  • Regulatory technology solutions increasing efficiency in compliance
  • Time and cost reduction
  • Reducing operational risks associated with regulatory obligations;
    • Transaction reporting and training
  • Regulatory gap analysis and compliance monitoring/authentication

10:30

Morning break

11:00

AI and Machine Learning

  • The potential of IT and necessary setup
  • What options are in place at what challenges do they bring?
  • Customer focused/front office uses vs Operations focused/back office uses
  • Natural language processing to identify financial stability risks
  • Challenges for the application of AI/ML
  • Case Study (Thailand)

12:30

Lunch

13:30

Next Generation of Regtech: Suptech

  • Data digitisation
  • Operational procedures
  • Regulatory process automation
  • Real-time compliance supervision
  • Financial centre development
  • Consumer complaint oversight
  • Feedback collection on policy effectiveness
  • Market manipulation monitoring
  • Insider trading supervision and policy harmonization

15:00

Afternoon break

15:30

Global Trends and Government Initiatives in RegTech

  • Discussion on Regulatory Sandbox Developments

17:00

End of training course