Back to All Events

Attitudes around implementing artificial intelligence in anti-money laundering (AML) programs

  • Digital Ocean 101 6th Ave, 2nd Floor New York, NY, 10013 United States (map)


Monday, October 30, 2017

  • 6:00pm – 6:30pm: Attendee networking, appetizers, drinks,
  • 6:30pm – 7:30pm: Interactive Panel Talk & Discussion followed by Q&A
  • 7:30pm – 8:00pm: Meetup attendee networking


DigitalOcean Headquarters – 101 6th Ave, 2nd Floor, New York, NY, 10013

DataVisor is heading to NYC. We are hosting an anti-money laundering (AML) meetup event designed for compliance executives to network with their peers and listen and participate in a cutting edge AML discussion from an expert panel. The panel will discuss the role of new technology such as artificial intelligence in reducing false alerts and false negatives in AML programs and strategies to get buy-in from senior management.

Don’t miss this opportunity to get advice and insights from our experienced compliance, technology, and AML advisory panel as they discuss:

  1. What is the bigger problem facing AML programs and why?
  2. What are the current attitudes within the financial community around whether new technology like artificial intelligence can help solve these problems?
  3. What obstacles exist to implement new technology like machine learning to improve the quality of your alerts? (e.g. regulator concerns, executive buy-in, etc)
  4. Successful strategies for how to getting buy-in from senior management to support AI-based technology pilots for compliance?

Click here to register for the event

Our Expert Panel Includes:

Keith Furst

Financial Crimes Technology Expert/Founder, Data Derivatives

Keith gained experience in a variety of banks and financial institutions, where his focus was on implementing, fine tuning and validating financial crime systems. Now running his own company, his forte relates to transaction monitoring, customer due diligence, fraud and market abuse systems. His work has included custom data analytics, resulting in identifying suspicious activity beyond traditional surveillance models. He is skilled at bridging the requirements of risk and compliance with technology, including strategic programs, such as ongoing data validation and quality.

Arlington Gordon

Vice President, Compliance Manager, J.P. Morgan

Arlington joined J.P. Morgan in 2015 as VP., for the Global Financial Crimes Compliance team as AML Compliance Manager, in charge of risk reviews for JPMC high and very high risk clients across AM/CIB/CB LOBs. Prior to joining JPM, he spent nearly 2 years as BSA Compliance Officer at Itau Unibanco (NY Branch), in charge of their AML/KYC Program. Prior to Itau, Arlington spent nearly 2 years at Royal Bank of Scotland (RBS PLC) as Assistant Vice President of OFAC Sanctions Unit, in charge of reviewing all escalated transactions for possible sanction nexus; provided guidance on OFAC sanction matters. Prior to RBS PLC, he spent 5 1/2 years at Bank of New York Mellon (BNYM, as Senior Associate-KYC Specialist. Key responsibilities include full spectrum KYC process (On-boarding; Quality Assurance; Project Management; Alert Management; new hire trainer) as well as supervisory duties for 5 Associates.

Bharat Sadula, CAMS

Senior Manager – Audit, Scotiabank

Bharat Sadula is a Senior Audit Manager covering the US BSA/AML and OFAC Programs in the Scotiabank U.S. Audit Department. He has 15+ years of experience in financial services spanning industry and consulting, including 11 years focused on BSA/AML and OFAC programs. Prior to joining Scotiabank, He has worked as a Senior Manager with Accenture leading their Fraud & Financial Crime Practice. During his consulting career, Bharat has worked with numerous global and mid-sized banks such as Bank of America, Credit Suisse, Citigroup, Barclays, Lloyds Banking Group, KeyBank, and Rabobank. He is an expert in Transaction Monitoring Systems such as Oracle FCCM (Mantas), Actimize, BSA PRIME, Navigant-STAR. He has extensive experience in performing coverage assessment of Models/Scenarios against identified AML risks, gathering requirements, data quality validations and Tuning & Configuration of AML systems. Bharat is an MBA from Indian Institute of Management, industry certifications (CAMS, FRM, Associate PRM), and is also a Level 3 candidate for CFA.

Deepa Kaswani

Principal, Tyche Compliance Consulting LLC

Deepa Keswani is currently a principal at Tyche Compliance Consulting LLC leveraging her
years of experience in compliance management to offer consulting in AML and other
compliance practices. She works as an independent consultant or subcontracts with
consulting firms to offer advisory / hands-on support in the compliance space and partners
with teams of professionals to offer project management, managerial support, and
compliance knowledge. Formerly, as a senior compliance executive at Commerzbank, she
managed the New York Branch’s compliance department for 6 years before leading an
expanded AML, Anti-Fraud & Sanctions department in New York after its merger with
Dresdner Bank in 2009. In 2014, she took on the role of Head of Regulatory Compliance
managing the Branch’s regulatory relationships and working with the authorities on the
coordination, organization and management of various exams and reviews. Deepa has a
proven ability to recognize and manage AML risks, identify necessary controls and steps to
be taken, incorporate heightened standards and policies as well as work well with teams and
across departments to establish controls, workflows and processes related to AML and

Catherine Lu

Head of Product for Financial Services, DataVisor

Catherine Lu is Head of Product for Financial Services at DataVisor, a financial crimes detection solution that uses a combination of supervised and unsupervised machine learning to detect sophisticated money laundering and fraud. Prior to that, she led product at Palantir for their data visualization platform. Before Palantir, she co-founded a retail analytics platform for large brick-and-mortar retailers (acquired by Palantir). She received her M.S. and B.S. from Stanford University, majoring in Computer Science and specializing in AI.