Medior Data Scientist Transaction Monitoring

Role purpose: Develop and improve data-driven models and analytics that strengthen transaction monitoring, detect suspicious behavior, and support effective financial crime risk management., * Build, evaluate, and maintain statistical and machine learning models for transaction monitoring and alert prioritization.

• Analyze large-scale transactional and customer data to identify patterns, typologies, and emerging risks.
• Design and test features, thresholds, and scenarios to improve detection quality and reduce false positives.
• Translate business and compliance needs into analytical solutions and measurable model performance metrics.
• Collaborate with compliance, investigators, engineering, and product stakeholders to implement models in production.
• Document methodologies, assumptions, validation results, and monitoring plans to meet governance requirements., 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.

Examples from practice

• 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.

• Experience with data science workflows: data preparation, modeling, validation, and performance monitoring.
• Strong programming skills in Python and/or R; ability to write production-ready code.
• Proficiency in SQL and working with large datasets and data pipelines.
• Knowledge of supervised/unsupervised learning, anomaly detection, and model evaluation techniques.
• Understanding of transaction monitoring, AML/CTF concepts, or financial crime analytics is preferred.
• Clear communication skills to explain results to technical and non-technical audiences., * A Master's 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.
• A work permit is required.

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.

• Salary: Gross monthly salary between EUR 5,030 and EUR 7,183 (scale 09) for a 36-hour work week.
• Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
• Development budget: EUR 1,400 development budget per year for your growth and development.
• Hybrid working: a balance between home and office work (possible for most roles).
• Pension: decide for yourself the amount of your personal contribution.

Facts & figures * 36-40 hours per week. * Supporting transaction monitoring activities for more than 8 million customers. * Over 48,000 Rabobank colleagues worldwide 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. Work on yourself & the world around you How do you want your expertise to contribute to both your own growth and a safer society? For us, your development and that of society go hand in hand. That is why we want to invest in you and work together to create a better world. We summarise this in one sentence: "at Rabobank, you work on yourself and the world around you simultaneously." This is reflected in your personal development budget, our hybrid work environment, and a good work-life balance. You can also contribute to social themes and to Rabobank's mission of Growing a better world together. Why everyone is welcome at Rabobank How can different perspectives strengthen the way we work together? At Rabobank, we are working toward a culture where everyone feels welcome. We value our differences and use them to collaborate more effectively and make better decisions. We do this step by step, paying attention to what is going well and to the areas where we can continue to improve. By being open to different perspectives, we are creating an environment where colleagues feel heard. That helps us build an organisation where people enjoy working-and where we truly understand and serve our customers.