A major Belgian financial institution runs a central AML data team responsible for the bank's transaction monitoring and compliance reporting. The team is delivering data models, pipelines and reporting solutions that feed AML workflows and regulatory controls, with a strong focus on SQL and data modeling tools such as PowerDesigner or equivalents.
The mission
You will join a cross-functional team that maintains and improves AML datasets covering customer, account and transaction attributes used by compliance and monitoring systems. The technical landscape includes relational sources, mainframe raw extracts, an enterprise Data Hub and reporting tools; the work ensures that AML detection and reporting are accurate, auditable and scalable.
Day to day you will translate business requirements from Compliance and Operations into technical designs, build and industrialize data pipelines, and embed data quality and governance rules so AML teams can rely on consistent CAT datapoints. You will run workshops, produce traceable specifications, prototype datamarts and hand over production-ready models to platform teams for operationalisation.
Your responsibilities
- Design and deliver logical and physical data models and datamarts that support AML transaction monitoring and analytics.
- Implement and industrialize data pipelines to ensure reliable, reproducible delivery of CAT datapoints into reporting systems.
- Define, document and enforce data governance and quality rules, including monitoring processes and escalation paths for data issues.
- Investigate and resolve discrepancies in mainframe and downstream datasets, producing root cause analyses and permanent fixes.
- Coordinate stakeholders across IT, Data Hub, Compliance and Operations through workshops, clear requirements documentation and solution validation.
- Produce operational reports and dashboards using reporting tools so compliance teams can run investigations and fulfil regulatory requests.
Your profile
Essential skills
- Minimum 5 years of experience in data analytics, with hands-on involvement in AML or financial crime prevention processes.
- Strong SQL skills for data exploration, transformation and validation.
- Proven experience with data modeling tools, for example PowerDesigner or equivalent, and designing data warehouses or datamarts.
- Experience with reporting tools such as Tableau, BusinessObjects or SAS for operational and regulatory reporting.
- Demonstrable knowledge of banking CAT datapoints (customer, account, transaction) and how they feed transaction monitoring systems.
- Practical experience applying data quality frameworks, rule definition, monitoring and issue escalation.
- Ability to work with mainframe raw extracts and perform low-level data troubleshooting.
- Strong stakeholder management and written documentation skills to capture functional and non-functional requirements.
Preferred skills
- Familiarity with Agile delivery methods and tools such as JIRA or Agile Central.
- Exposure to IT architecture principles and data security standards in financial services.
Languages
- Dutch, C1
- French, C1
- English, C1
Education
- Masters degree in a quantitative discipline such as statistics, mathematics or engineering, or equivalent practical experience.