[email protected] +91 - 9370078917

Managing AML/CFT Risks Posed by FinTechs, New Payment Systems and Virtual Assets

The programme has been designed to:

  • Assist key employees in understanding the money laundering and terrorist financing (ML/TF) risks and typologies related to FinTechs, new payment systems, virtual assets, and virtual asset service providers
  • Understand regulatory obligations at a country-level and as per international guidelines
  • Understand the importance of a risk-based approach to due diligence and monitoring
  • Highlight the importance of preventive policies and controls.

COVERAGE

  • Tracking the growth of Fintech & Payments
  • Evolving Regulatory Landscape
  • AML/CFT Risks in and from FinTech
  • Evolving Typologies
  • Virtual Currencies and AML Risks
  • Best Practices for Risk Mitigation

MODE OF DELIVERY
This module is available for Virtual as well as In-person delivery.

DURATION
6 hours

SUITABLE FOR
Members from AML Compliance, Regulatory Compliance, Financial Crime Compliance, Audit, Legal, Strategy, and Corporate Governance teams from banks, financial institutions, fintech companies, crypto exchanges and authorised payment system operators.

INCLUSIONS
Certification of Participation

CONTACT US

Write to us at [email protected] or call on +91 93700 78917 to find out how our training can support your business.

OTHER COURSES

Aimed to help front-line and customer facing staff of financial institutions to gain the required knowledge about the subject from an educational, regulatory and ethical perspective.

Designed to equip the Board & senior executive management members with strategic insights on current and potential AML/CFT risks and vulnerabilities, with the objective to safeguard the AML policy and minimize risks to the organisation.

Focused on providing customer-focused business teams with the required understanding of AML/CFT and the tools at their disposal to detect and prevent ML/TF activity that potentially poses a risk to your organisation.

Covers the practical challenges and complexities while dealing with TBML and key parameters to be considered while handling trade transactions and trade finance customers.