AML Regulatory Project Manager

About the role

Why choose this offer?

Project

You will be involved in a financial crime and regulatory transformation project focused on AMLR (Anti-Money Laundering Regulation) compliance, Group-Wide Information Sharing, data sourcing, reporting, and data quality improvements across multiple business lines and legal entities. The role involves driving initiatives supporting KYC, Transaction Monitoring, Fraud, and Sanctions processes while ensuring regulatory compliance and effective stakeholder alignment.

Requirements

• 5+ years of Project Management experience, preferably within Financial Crime, Regulatory Change, Data, or Compliance programmes

• Working knowledge of AML-related domains, including KYC, Transaction Monitoring (TM), Fraud, and Sanctions

• Strong project governance, planning, execution, and delivery management capabilities

• Excellent stakeholder management and communication skills, with experience working across business functions, group entities, and senior leadership teams

• Strong risk, issue, dependency, and prioritisation management skills, with the ability to balance tactical delivery needs against strategic goals

Responsibilities

1. 1

   Drive the delivery of AMLR-related initiatives across information sharing, data sourcing, reporting, and data quality workstreams

2. 2

   Coordinate business, compliance, legal, technology, data, and operational stakeholders to define and implement requirements

3. 3

   Support the implementation of information-sharing capabilities and Single Customer View solutions across multiple business areas and legal entities

4. 4

   Lead gap assessments, determine criticality, define remediation plans, and identify tactical mitigations where strategic solutions are not yet available

5. 5

   Drive prioritisation of initiatives, risks, dependencies, and delivery plans while balancing short-term regulatory requirements with long-term strategic objectives

6. 6

   Manage data sourcing activities, including data requirements, lineage, traceability, documentation, and onboarding of new data assets

7. 7

   Drive data quality uplift initiatives, including gap analysis against regulatory requirements, remediation planning, and implementation of monitoring controls