Medior Data Scientist Transaction Monitoring

Introduction

• 36 hours per week
• Start date: 06-07-2026
• End date: 30-06-2027
• Hybrid: fixed office days: Monday and Thursday
• ZZP is not allowed.

Job description

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.

You and your job

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. Practical examples 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.

Top 3 responsibilities

- 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.

Requirements

Hard requirements

- A Masters degree in Data Science, Econometrics, Mathematics, or a related field.

- 3-5 years of experience in data science or data analysis, preferably with large datasets.

- Strong programming skills in Python and PySpark (Azure Databricks experience is a plus.)

- Experience in implementing and maintaining analytical models into production is preferred.

- Strong communication skills, with the ability to present complex topics in a clear and accessible way to business stakeholders to enable swift decision making.

- Excellent verbal and written English skills.

Strong preferences

- You are intrinsically motivated to fight financial crime by building models that create real impact.

- You work in a structured and precise manner and communicate clearly.

- You collaborate effectively with colleagues across different roles and take initiative to improve outcomes.

- You thrive in a dynamic, high-impact environment. Experience with Agile working is a plus.