Data Scientist Financial Crime Detection

Financial crime is a hot topic. The media seems to report on money laundering or terrorist financing just about every day. As gatekeeper of the financial system this team is responsible for keeping the system safe and healthy, which is of fundamental importance for the stability and security of the banks clients and – by extension- for society as a whole.This relatively new department is still in the developmental stage, which will give extra depth to this data science role. In this dynamic environment, you’ll have the opportunity to help the department get to the next stage and initiate improvements.

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Job description

This team is responsible for data science innovations to create a future proof bank. Current main focus is on transaction monitoring, but the scope is the broader financial crime domain. The team aims to transform the traditional transaction monitoring landscape into a 2.0 version by creating state-of-the-art machine learning technologies (e.g. anomaly detection, network analytics, NLP) that detect financial crime (money laundering, terrorist financing, human trafficking etc.) in an effective way, using machine learning and advanced network analytics.

In this job 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.

Together with a junior data scientist you’ll be responsible for a use case. This includes involvement of the stakeholders and developing a plan of approach. As a senior data scientist, you are expected to take a leading, pro-active role and to contribute to the strategic development of the team and a future-proof way of working.

Are you a data scientist who likes to take initiative and venture off the beaten track? Let's talk!

Requirements

  • You know how to get support for your ideas and advice.

  • You’re entrepreneurial, pioneering and creative; you don’t mind a changing environment and you thrive on taking initiative

  • You have a master’s degree or PhD in computer science/data science or related field.

  • You have experience in development of machine learning models in a big data

    environment.

  • You have experience in productionizing machine learning models.

  • You are familiar with recent developments in machine learning.

  • You have knowledge of IT architecture

  • You are an experienced Python programmer and you preferably also have

    experience with SQL, PySpark and other technologies

  • You have strong communication skills and you’re pro-active

  • You have a minimum of three years work experience

  • Having working experience within the transaction monitoring domain is beneficial

Company Profile

This 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." 

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At a glance

SpecializationData Science & Analytics

SeniorityMediorSenior

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