Description
• Utilizing risk-based assessments to flag potential TBML activity such as invoice manipulation, phantom shipping and unclear nature of transactions or end user identity
• Crafting unique trade CDD models to detail risks such as entity business model, principal counter-parties and establish triggering events for EDD or updated reviews
• Leveraging rules-based monitoring with tools such as Natural Language Processing to reconcile TBML issues such as discordant trade data reporting platforms
Moderator(s):
- Marilú
Jiménez,
Esq., CAMS,
Founder and President,
Financial Intelligence Network & Compliance Advisors (FINCAdvisors)
Speaker(s):
- Susan
J. Galli,
CAMS,
President,
Galli AML Advisory, LLC
- Melissa
Leeds,
CAMS,
Data Mitigation Support Specialist,
Far Ridgeline Engagements, Inc.
- Moyara
Ruehsen,
CAMS,
Head of the Financial Crime Management Program,
Middlebury Institute of International Studies in Monterey, California
- Joseph
Spielman,
"Homeland Security Investigations Program Manager, Trade Transparency Unit National Targeting Center – Investigations",
Homeland Security Investigations