Data Scientist

The Detecting Financial Crime – Data Science Innovation Team (DFC DSI) is one of the largest and fastest-growing data science teams within ABN AMRO. We are working on smart solutions to detect financial crime, including money laundering, terrorist financing, and human trafficking. Criminals constantly devise new ways to stay out of sight, so we need to continuously adapt and innovate to beat them to it. Our work is in the limelight, from the senior management of the bank, national regulators such as DNB, as well as from society as a whole. This illustrates the important role that we play as gatekeepers of the financial system. In DFC, we bring together every activity the bank undertakes to detect financial crime. By combining knowledge and expertise and joining forces, we can do a better job of keeping our banking systems free of financial crime and embracing new developments.

Your job

The team is responsible for data science innovations to create a future-proof DFC and bank in general. Our team’s current main focus is on transaction monitoring and KYC monitoring but our scope is the broader DFC domain. The DSI team aims to transform the traditional TM and KYC landscape into a 2.0 version by creating state-of-the-art machine learning technologies (e.g., anomaly detection, network analytics, NLP, LLM) that detect financial crime (money laundering, terrorist financing, human trafficking, etc.) in an effective way, using machine learning and advanced network analytics as well as genAI features. In collaboration with the business, Compliance and DFC operations you will be responsible for the development and continuous improvement of new transaction monitoring models aimed to detect financial crime. In this process, the data-driven models are continuously being tailored to the needs of the business and the evolving financial crime threats. Being able to interpret the results of the models and to explain the functioning of the models to the stakeholders is key.

Working environment

Financial crime is a hot topic. The media seems to report on money laundering or terrorist financing just about every day. The social relevance of our work is just as important to us. We are the gatekeepers of the financial system, hence responsible for keeping the system safe and healthy, which is of fundamental importance for the stability and security of our clients and – by extension – for society as a whole. All of this impacts our relevance as an organisation and our continuity. We accomplish this by lining up the interests of our clients, the bank, and society at large. DFC is a relatively new department that is still in the development stage. The fact that the department is in transition will give extra depth to your role. In this dynamic environment, you’ll have the opportunity to help the department get to the next stage and initiate improvements.

Your profile

You are an experienced data scientist with vision. You have excellent analytical skills and get energized by modelling. You can convert a business problem into quantifiable research questions and follow a scientific yet hands-on approach when creating concrete and innovative data science solutions. You know how to get support for your ideas and advice.

• You have a master’s degree or PhD in computer science/data science or related field and you have 3 - 5 years work experience as a Data Scientist
• You have experience in development of machine learning models in a big data environment and experience in productionizing machine learning models.
• You are familiar with recent developments in machine learning, knowledge of IT architecture and an experienced Python programmer, preferably also skilled in SQL, PySpark and other technologies
• You have strong communication skills and you’re pro-active
• Having working experience within the KYC/CDD/AML domain is beneficial
• Living in the Netherlands

We are offering

At DFC, you’ll be working in a driven and dynamic environment, where people work hard based on a shared vision and objective. The DFC department is characterised by a non-hierarchical structure, short lines of communication, a focus on deliverables, and close teamwork with other departments. Although we make high demands of our work, we never lose sight of the human dimension because we believe that the success of our mission depends on it. In this work context, we’ll offer you the opportunity to work on your professional and personal development.