About the Organization

A leading financial institution in the Netherlands is seeking an experienced Data Scientist with a strong sense of social responsibility. The organization plays a critical role in the prevention of financial crime and is actively enhancing its transaction monitoring systems.

The Role

As a Senior Data Scientist, you will contribute to improving models that detect unusual or suspicious transactions. You will work on rule-based models and support the long-term transition to more advanced techniques such as machine learning. Collaborating with a multidisciplinary team, you will directly impact the fight against money laundering and terrorist financing.

Responsibilities

• Develop and optimize transaction monitoring models that analyze behavioral and transaction patterns.
• Integrate new data sources and collaborate with subject-matter experts to make informed model choices.
• Mentor and support team members by promoting best practices and maintaining a consistent way of working.
• Act as a liaison to stakeholders and management, providing a clear overview of the analytics landscape.
• Deliver production-ready models with high-quality code and ensure alignment with IT, architecture, and business stakeholders.

Practical Examples

• Designing data-driven rules that effectively identify illegal activities.
• Advising management on new modeling opportunities and long-term strategies.
• Implementing scalable and reliable data science solutions in an operational setting.

Your Profile

Minimum Requirements:

• MSc or PhD in Data Science, Econometrics, Mathematics, or a related field.
• At least 5 years of experience in advanced analytics, machine learning, or AI, ideally working with large datasets.
• Proficient in Python, PySpark, and Spark; experience with Azure Databricks is a plus.
• Proven experience in deploying data science models into production environments.
• Excellent verbal and written communication skills in English.

Preferred Attributes:

• Strong motivation to make a societal impact by helping detect criminal behavior.
• Analytical, structured, communicative, and results-driven.
• Comfortable in a dynamic, fast-paced, and Agile working environment with multiple stakeholders.