AML Compliance Strategy and Analytics (Group Compliance)

Job description:

This role is a strategic partner and a trusted business enabler to the board and senior management. It is our responsibility to ensure that the company continuously fulfils its regulatory obligations in today's tight and dynamic regulatory landscape. To do that, we work closely with internal stakeholders to identify and to assess regulatory risks. This collaboration also includes developing practical solutions that integrate regulations into operational requirements as well as actively shaping and promoting stronger compliance culture and literacy in the company.

• Project Management: Lead and oversee AML and AFC-related projects, ensuring end-to-end management from initiation, planning, and execution through to monitoring and closing. Provide project plans, status updates, and communication strategies.

• Stakeholder Engagement: Work closely with key stakeholders across compliance, data science, IT, and external vendors to align project objectives and manage dependencies, risks, and issues effectively.

• AML System & DA Strategy and Oversight: Act as a Subject Matter Expert (SME) for AML systems & DA models, providing insights on systems implementation, and regulatory requirements.

• Change and Risk Management: Prioritize and manage change requests for AML systems, coordinating adjustments to meet evolving regulatory and operational requirements while identifying and mitigating project risks.

• Visualizations and Reporting: Develop and maintain visual dashboards to track project performance and AML analytics. Synthesize project data and insights into concise, management-ready reports for decision-making.

• Special Projects: Support high-priority AFC initiatives, particularly those requiring enhanced analytical capabilities for regulatory or internal intelligence purposes. Contribute to the development of advanced data models to support AFC analytics.

• Training and Development: Provide guidance and training to compliance and business teams on AML systems and data-driven approaches to AFC. Share best practices on model governance and regulatory analytics.

• Innovation and Best Practices: Stay updated on emerging data science and analytics trends in AML and AFC. Drive the adoption of advanced techniques, such as machine learning and AI, to enhance system capabilities.

Requirements:

• Bachelor's degree in Data Science, Finance, Business Administration, Computer Science, or a related field advanced degrees or certifications in AML, compliance, or data science are preferred.

• Minimum of 7 years in the financial services industry, including hands-on experience with AML systems and compliance, as well as at least 5 years in a project management or PMO role.

• Strong analytical, problem-solving, and decision-making abilities, particularly in developing insights from large datasets to inform project and compliance strategies.

• An understanding of AI/ML applications in compliance is a plus but not required.

• In-depth understanding of AML/CFT regulations, transaction monitoring systems, and anti-financial crime compliance best practices.

• Exceptional interpersonal and communication skills, with the ability to work across multiple departments and present findings effectively to senior management.

• Agile, inquisitive, self-driven, and capable of adapting to dynamic environments. Strong focus on integrity and meticulous attention to detail.

• Practical knowledge of automation tools like Robotic Process Automation (RPA) and familiarity with advanced analytics for AFC applications are advantageous.