As a Medior Data Scientist Transaction Monitoring you can have social impact by detecting criminal behavior using analytics models to analyze Rabobank transactions of 8+ million customers.

Preventing Money Laundering & Terrorist Financing is one of the key aspects for our society and our organization, and as a bank we play a major role in this field. In order to be effective in fighting financial crime, we need smart individuals like yourself who get their energy from looking into data, patterns and behavior of our customers in order to uncover illegal activities. Together with the team you will be responsible for optimizing our current rule-based Transaction Monitoring (TM) system and eventually (not on short term) for introducing more advanced analytics methodologies such as Machine Learning into our TM models.

This job requires statistical know-how, an analytical mindset and pragmatic operational expertise. And if done successfully, you will make sure that our analysts are able to focus on the true positive alerts hence spend their time on truly value-adding activities. In other words, in this role you will be on the front line of fighting financial crime.

Werkzaamheden en Verantwoordelijkheden

• Developing and improving detection rules within multidisciplinary teams to uncover patterns linked to illegal activities.
• Identifying new relevant data sources and evaluating how to integrate them into our models.
• Working with business experts, model owners, and IT to implement and continuously refine models.
• Develop and enhance (parts of) our detection rules, including data analysis, model setup, and writing reliable, well-structured code.
• Identify challenges related to model choices and actively contribute to suitable solutions.
• Collaborate with colleagues including juniors, mediors, IT specialists, and analysts to ensure consistent best practices across the team.