Tag: financial institutions

In the dynamic world of finance, client onboarding challenges abound, driven by the need to balance enhanced customer experiences against stringent compliance requirements.

The European Banking Authority (EBA) today announced the introduction of new Guidelines concerning the 'travel rule' for fund and crypto asset transfers.

In recent years, off-channel communications have come under the intense scrutiny of regulators like the U.S. Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC). This scrutiny is largely due to the risks these unmonitored communications pose, ranging from compliance issues to gaps in record-keeping that can affect investor protection.

A groundbreaking benchmarking report by 1LoD has just been released, offering an in-depth look at the current state of voice surveillance across financial institutions....

In October 2023, the UK implemented the Economic Crime and Corporate Transparency Act (ECCTA), setting stringent identity verification (IDV) mandates for shareholders, directors, and persons of significant control (PSCs). This legislation, crafted to enhance the integrity of company data at Companies House, represents a significant pivot towards more rigorous corporate governance.

Napier AI has responded to a consultation from HM Treasury, the UK government's economic and finance ministry, on enhancing the effectiveness of the Money...

The United Arab Emirates (UAE) has made significant strides in its anti-money laundering (AML) and combating the financing of terrorism (CFT) frameworks.

Compliance officers in the asset management sector are pivotal, often having to juggle multiple responsibilities.

FinTech Global recently spoke to RegTech firm Qkvin to explore what the five major challenges financial institutions face with financial crime and how Qkvin can resolve them.

The buzz surrounding Artificial Intelligence (AI) often heralds it as a panacea for all modern problems. Yet, the reality is more nuanced, as the effectiveness of AI heavily relies on the quality and readiness of the data it processes.