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Our Key Takeaways from Singapore FinTech Festival

As a proud event sponsor, we were excited to be a part of this year’s Singapore FinTech Festival alongside industry leaders, innovators, and regulators helping to create a dynamic FinTech ecosystem worldwide through the combination of expertise and disruptive technology.


With over 30,000 global attendees the FinTech Conference & Exhibition, we exchanged forward-thinking ideas and global best practices on AI in Finance and RegTech solutions that drive a more sustainable compliance environment.


Read our recaps from sessions with the President of Exiger Tech, Brandon Daniels, in his sessions about the gains and pitfalls of using data analytics solutions in financial crime compliance and practical guidance to deploying AI in AML and sanctions detection.

About the Speaker

Brandon Daniels is the President of Exiger Tech, overseeing the execution of data-driven solutions in the firm’s regulatory and Financial Crime Compliance (FCC) efforts.


A regulatory expert and technology practitioner, Brandon brings 15+ years in senior management across the financial services, life sciences and energy sectors. With a reputation for technological innovation in regulatory investigations and compliance management, Brandon is responsible for leading assessments of the design, deployment, and operational management of FCC systems and technology.


A respected thought leader in legal and compliance services, Brandon is regularly featured in leading publications, including the Wall Street Journal, Financial Times and American Banker, and Author/Editorial Board of The General Counsel’s Guide to Government Investigations.

Recap of Panel

Financial institutions are increasingly looking to data analytics solutions to prevent and detect the abuse of their services by criminals. Such novel and untested solutions carry great promise, but also potential pitfalls, and may require vast amounts of data. How should the industry ensure that the new systems they deploy will be more effective, as well as explainable and fair? How can information be efficiently and safely pooled? And what kinds of infrastructure institutional frameworks, technology platforms and talent do we need?

Moderator: Chee Kin Lam, Managing Director & Head, Group Legal, Compliance & Secretariat, DBS

  • Brandon Daniels, President, ExigerTech, Exiger
  • Jennifer Calvery, Global Head, Financial Crime Threat Mitigation, HSBC
  • Justin Lie, Co-Founder & CEO, Cashshield
  • Phil Cotter, Managing Director of Risk, Refinitiv

Recap of Open Stage

Open Stage: November 14 | 12:00 pm – 12:45 pm | Sandbox Stage

In this session, we will explore operationally sound ways to manage the design, deployment, and testing of AI in Financial Crime Compliance under the existing regulatory and model risk regime.

Speaker: Brandon Daniels | President, Exiger Tech, Exiger

Reduce False Positives. Gain Efficiency.

Experience DDIQ: AI Powered by Exiger’s Compliance Experts.

DDIQ is an AI-Based Automated Due Diligence Solution that Accelerates and Enhances Risk Assessment Related to Clients, Investments, Transactions, Third-Parties and Counterparties


Programmed by expert technologists and taught by Exiger’s financial crime compliance professionals, DDIQ uses AI to read, understand, and analyze content with the same approach and cognitive reasoning as a human… without the constraints.


Whether a single investigation target or millions of monitored transactions, DDIQ rapidly executes hundreds of searches and analyzes thousands of sources. It then identifies, classifies, and ranks the risk-based information and delivers it in an easy to read profile.


As a critical component of a regulatory compliance program or a routine part of investment analysis, DDIQ helps you identify risk more rigorously and efficiently than ever before.


Cost effective, auditible compliance.


Automate your process for third party detect and monitor programs.


Don’t make bad decisions that good research can avoid.


Screen out bad risks that good research can avoid.


DDIQ is a risk-based cognitive computing platform that combines automation with the skills of a human researcher to uncover and analyze regulatory risks of a subject that are not found using current techniques. DDIQ empowers compliance teams at financial institutions, Corporations and investment firms to mitigate risk and meet the increasing demands of regulators to automatically and constantly screen all available public data about a subject while preparing auditable reports.


DDIQ is part of Exiger, a global regulatory and financial crime, risk and compliance company. Exiger arms financial institutions, multinational corporations and governmental agencies with the practical advice and technology solutions they need to prevent compliance breaches, respond to risk, remediate major issues and monitor ongoing business activities. Exiger works with clients worldwide to assist them in effectively managing their critical challenges while developing and implementing the policies, procedures and programs needed to create a sustainable compliance environment.


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