Global Payments High-Risk & CDD Analyst

Global Payments; Greater London; Hybrid; GBP 55.000 - 85.000; Vollzeit

Zusammenfassung

Global Payments in London is seeking a CDD High Risk Vertical Analyst to join our Compliance and Risk Enablement team. You will perform due diligence reviews across high-risk sectors including cryptocurrency, gambling, marketplaces, money transmission and payment facilitators, and collaborate with 2nd line to ensure regulatory adherence.

You will build strategic partnerships with business leaders, manage stakeholder relationships, identify model complexities, and contribute to SOPs and

Qualifikationen

• Minimum of 3 years’ experience in a compliance or risk management.
• Understanding of legal and regulatory requirements pertaining to customer due diligence, Wolfsberg standards & card network rules.
• Experience in the payments industry.
• Knowledge of high-risk vertical regulations such as gambling, payment facilitators, cryptocurrency and money transmission.

Aufgaben

• Perform due diligence reviews across high-risk sectors including Cryptocurrency, Gambling, Marketplaces, Money Transmission and Payment Facilitators.
• Drive strategic partnerships to accelerate growth and mitigate risk across our Enterprise portfolio.
• Collaborate with 2nd line Compliance, Risk and Legal to ensure regulatory adherence and SOP implementation.
• Identify complexities in high-risk models and contribute to the development of controls and SOPs.

Kenntnisse

Regulatory compliance

Risk management

Stakeholder management

Analytical thinking

Communication

Jobbeschreibung

Global Payments in London is seeking a CDD High Risk Vertical Analyst to join our Compliance and Risk Enablement team. You will perform due diligence reviews across high-risk sectors including cryptocurrency, gambling, marketplaces, money transmission and payment facilitators, and collaborate with 2nd line to ensure regulatory adherence.

You will build strategic partnerships with business leaders, manage stakeholder relationships, identify model complexities, and contribute to SOPs and