Vacatures
AI against financial crime: Rabobank accelerates innovation in sanction monitoring
Data Science & AI

De uitdaging

Sanction control generates tens of thousands of signals per day – often with a high number of false positives. This makes manual review inefficient and error-prone. At the same time, regulators place high demands on explainability, data separation and security. Rabobank wanted to investigate whether machine learning could help distinguish more effectively, without losing control of model decisions.

Onze aanpak

  • ML models tuned for rare, high-risk transactions (unbalanced learning & anomaly detection)
  • Explainability with SHAP and other methods
  • Integration with Azure Databricks and DevOps
  • Coaching colleagues in PEP8, unit testing and documentation
  • Development of prototypes for transaction filtering

context

The fight against financial crime, such as money laundering and sanction evasion, is high on the agenda of both regulators and financial institutions. Organizations such as Rabobank must be able to respond ever smarter and faster to suspicious signals within their data streams. But how do you stay innovative within a domain that is so strictly regulated? IBS supplied a senior data scientist to Rabobank’s Sanctions Tech Innovation team. The assignment: accelerate innovation within the sanctions department, while maintaining compliance, transparency and explainability.

De impact

  • Improved precision in penalty matching (fewer false positives, more focus on real risks)
  • Faster adoption through explainable AI
  • Knowledge development and improved code quality
  • Better alignment between business and technology

Waarom deze case ertoe doet

This assignment brought together innovation, AI, compliance and organizational development. The balance between technological innovation and governable implementation is something many organizations struggle with – and exactly where we at IBS make a difference.

Isatis business solutions

As a partner in data science, IBS helps financial institutions move from analysis to action. Whether it’s transaction monitoring, risk models or data governance – we deliver smart and explainable AI solutions, tailored to industry requirements. Our expert played a key role in bridging the gap between data science and business.

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