AISB-839 Data Analyst

We are seeking a highly skilled Data Analyst to join a dynamic data and compliance environment, where you will contribute to the design, delivery, and maintenance of robust data solutions supporting Anti-Money Laundering (AML) processes. You will play a key role in ensuring data quality, regulatory compliance, and scalable analytics across enterprise systems.

Role Overview

In this position, you will act as a key connector between technical teams (IT, Data Hub, Operations) and business stakeholders (Compliance and AML teams). Your mission is to transform complex business requirements into reliable, efficient, and governed data solutions that support financial crime prevention initiatives.

You will ensure that data used in AML processes—particularly Customer, Account, and Transaction (CAT) data—is accurate, traceable, and fit for regulatory reporting and analytics.

Key Responsibilities

Stakeholder Collaboration & Requirements Translation

• Facilitate alignment between IT, Data teams, Compliance, and Operations through workshops and structured documentation.
• Translate business and regulatory needs into clear, actionable technical specifications.

Data Governance & Quality Management

• Define and enforce data governance standards, including data ownership, quality rules, and access controls.
• Monitor data quality across AML datasets and proactively address inconsistencies or issues.
• Ensure traceability and compliance of data integration rules.

Data Analysis & Issue Resolution

• Investigate and resolve data discrepancies, including deep-dive analysis into raw and legacy data sources when needed.
• Analyze AML Transaction Monitoring datasets to identify anomalies, gaps, or suspicious patterns impacting compliance or operational performance.

Data Solution Design & Implementation

• Design and maintain logical and physical data models supporting AML reporting and analytics.
• Develop and optimize data pipelines to ensure reliable and efficient data flow across systems.
• Build prototypes to validate requirements and refine solutions based on stakeholder feedback.

Process Optimization & Best Practices

• Improve data workflows to increase efficiency, reusability, and automation.
• Promote best practices in data architecture, security, and regulatory compliance.
• Contribute to continuous improvement of data management frameworks.

Profile Requirements

Education

• Master’s degree in a quantitative field such as Statistics, Mathematics, Engineering, or equivalent experience in analytics.

Experience

• Minimum 5 years of experience in Data Analytics, ideally within AML or financial crime prevention contexts.
• Strong background in banking data environments and regulatory reporting.

Technical Skills

• Advanced SQL and data modeling expertise (e.g., PowerDesigner or similar tools).
• Experience with reporting and visualization tools such as Tableau, Business Objects, or SAS.
• Familiarity with Agile environments and tools such as JIRA is a plus.

Domain Knowledge

• Strong understanding of AML Transaction Monitoring and CAT data structures.
• Experience defining and managing data quality frameworks.
• Knowledge of financial services IT architecture and data security principles.
• Ability to gather, document, and manage functional and non-functional requirements.

Languages

• Dutch: Fluent
• French: Fluent
• English: Fluent

Soft Skills

• Proactive, autonomous, and solution-driven mindset.
• Strong analytical thinking and attention to detail.
• Excellent communication skills for both technical and non-technical audiences.
• Adaptable, collaborative, and eager to continuously learn and improve.
• Ability to bridge strategic objectives with operational execution.

Working Model

• Hybrid setup with balanced on-site and remote work flexibility.

Passionate about data, compliance, and fighting financial crime through analytics? This role offers a challenging and high-impact environment where your expertise truly matters.

Apply now and make a difference.