Data Scientist AML / Transacion Monitoring

Start: asap
End: 30-09-2027
Possible extension: YES
Hours per week: 36
ZZP not possible
Current residency in The Netherlands

As a Data Scientist, you will play a critical role in supporting and optimizing Rabobank's Transaction Monitoring capabilities. Through advanced analytics, dashboard development, and stakeholder collaboration, you will help colleagues make data-driven decisions that increase the effectiveness of detecting potential money laundering and terrorist financing activities.

What You Will Do

• Perform end-to-end analytical projects, from business intake and requirements gathering to coding, analysis, visualization, and presentation of results.
• Design, build, and maintain impactful Power BI dashboards that support Transaction Monitoring optimization and decision-making.
• Develop scalable and maintainable analytical solutions using Python.
• Estimate and assess the impact of proposed changes to Transaction Monitoring rules and parameters
• Translate complex business questions into analytical approaches and actionable recommendations.
• Act as a trusted partner for stakeholders, helping them formulate the right questions and uncover opportunities through data
• Drive continuous improvements and proactively identify areas where analytics can create measurable business value
• Collaborate closely with data professionals, business experts, and other stakeholders across multidisciplinary teams.

• Develop a Transaction Monitoring rule tuning dashboard to support optimization of monitoring parameters
• Build management dashboards that provide deeper insight into the effectiveness of the Transaction Monitoring system.
• Analyze customer transaction behavior to identify patterns and answer business-critical questions
• Quantify the expected impact of model and rule adjustments on operational efficiency and detection effectiveness

Required Qualification

• Master's degree in a quantitative or technical field
• Minimum 3 years of relevant experience as a Data Scientist, Data Analyst, or similar analytical role
• Strong Power BI expertise, including advanced dashboard development, data visualization, and storytelling with data
• Solid Python programming skills, including:
  • Object-Oriented Programming (OOP)
  • Software engineering best practice
  • Coding standards and code reviews
  • Writing maintainable and scalable code
• Proven ability to independently lead initiatives and drive results.
• Strong communication skills with the ability to translate business needs into analytical solutions
• Structured, proactive, and highly organized working style
• Strong stakeholder management and collaboration skills.
• Business-focused mindset with a strong sense of ownership.
• Excellent verbal and written communication skills in English.

• Experience working in Financial Economic Crime (FEC), AML, Transaction Monitoring, Risk, or Compliance environment
• Ability to balance technical depth with business impact.
• Comfortable operating in a dynamic, fast-paced environment
• Motivated by delivering measurable improvements rather than building analytics solutions for their own sake.