Data Analyst AML

As a Data Analyst, you will play a critical role in designing, delivering, and maintaining high-quality data solutions for AML processes, ensuring compliance, efficiency, and scalability across the organization. You will act as a bridge between data providers (IT, Data Hub, Operations) and data consumers (AML/Compliance teams), aligning technical solutions with business needs while upholding strict data governance and quality standards. Main Responsibilities Your core responsibilities will include:
- Stakeholder Alignment & Communication
- Coordinate input from IT, Data Hub, Compliance (CPL), and Operations, ensuring alignment through structured documentation, workshops, and clear communication.
- Translate complex business requirements into actionable data solutions, balancing technical feasibility with regulatory and operational needs.
- Data Governance & Quality
- Establish and enforce data governance frameworks, including role definitions, quality rules, and access protocols, in collaboration with data providers and consumers.
- Monitor, refine, and escalate data quality issues proactively, ensuring long-term integrity of AML-related datasets (e.g., Customer/Account/Transaction data).
- Define and document business and technical rules for data integration, ensuring traceability and compliance.
- Data Analysis & Troubleshooting
- Investigate and resolve data discrepancies, including mainframe-based data points (willingness to explore raw data is essential).
- Analyze AML Transaction Monitoring data, identifying patterns, gaps, or anomalies that impact compliance or operational efficiency.
- Solution Design & Industrialization
- Design logical and physical data models (e.g., data warehouses, datamarts) optimized for AML reporting and analytics.
- Develop and industrialize data pipelines, ensuring seamless flow and accessibility across the enterprise.
- Prototype solutions to validate business requirements and refine designs based on feedback.
- Process Optimization
- Streamline data workflows to maximize reusability and efficiency, reducing redundancy and manual interventions.
- Advocate for best practices in data security, architecture, and compliance, aligning with IT and risk management standards. Key Requirements
- Fluency in Dutch, French, and English.
- Master’s degree in a quantitative discipline, such as statistics, mathematics, or engineering (other backgrounds with substantial knowledge of analytics are encouraged).
- At least 5 years of relevant experience in Data Analytics.
- 2–6 years of hands-on experience in Data Analytics, focusing on AML processes or financial crime prevention.
- Proficiency in SQL and data modeling tools (e.g., PowerDesigner or equivalent).
- Experience with reporting/dashboard tools (Tableau, BO, SAS, etc.).
- Deep understanding of banking data, particularly AML Transaction Monitoring data.
- Strong analytical and problem-solving skills, with attention to detail and a quality-focused approach.
- Excellent communication skills to engage technical and non-technical stakeholders. Nice to Have
- Familiarity with Agile methodologies and project management tools (JIRA, Agile Central).
- Hands-on experience with data quality frameworks, including rule definition, monitoring, and issue escalation. Other Details Expectation for work arrangement: 50% on-site and 50% remote.