Categories: SEO

New strategies to mitigate ML/TF dangers



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

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

source

Singapore FinTech Festival

Recent Posts

The way to select a Gacor Slot Internet site

Are you ready to dive into your world of online slots, although unsure where to…

1 week ago

The way to Access Your 66 Lotto Demo

Welcome, lottery aficionados! You've likely heard often the buzz around the 66 Lotto and are…

4 weeks ago

How to Choose a Portland Construction Company

Before you start reaching out to potential contractors, take a moment to define what you…

1 month ago

The Ethics of Lottery Hacking Techniques

Hello, fellow lottery enthusiasts! Have you ever been intrigued by the enigmatic realm of lottery…

1 month ago

Crucial Tips for Winning at Pai gow poker

Hey there, slot enthusiasts! If you're a severe slots game player or just someone who…

1 month ago

Finances Gaming: ₹55 Offers You Can not Miss

Hey there, fellow avid gamers! If you're like me and love the thrill of game-playing…

1 month ago