Exploring the Impact of Graph Technology on Financial Services: An overview into Rabobank’s Innovative Graph Technology Implementation in battling Financial Economic Crime

Wednesday, March 27
10:30am CET
90 minutes

In today’s rapidly evolving financial landscape, the role of technology is pivotal in driving innovation and efficiency. Graph Technology has emerged as a powerful tool, offering unique capabilities to uncover hidden insights, streamline processes, and comply with for CDD-, Fraud- and AML-requirements. This webinar delves into the transformative potential of Graph Technology, focusing on its impact on financial institutions. Specifically, we will get an overview into Rabobank’s innovative implementation of Graph Technology.

By examining real-world use cases and success stories, attendees will gain valuable insights into how Rabobank leverages graph technology to optimize operations, enhance decision-making processes, and stay ahead in a competitive market.

Join us as we explore the intersection of finance and technology, and discover the game-changing potential of Graph Technology in shaping the future of financial services.

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Stijn Oude Elferink Image

Stijn Oude Elferink

Product Manager Network Analytics at Rabobank

Stijn Oude Elferink is a MSc graduate in Business Information Management from Rotterdam School of Management, Erasmus University and is passionate about making a positive impact on society by leveraging the power of data.

With multiple years of experience in different areas of analytics, he had the privilege to work on topics ranging from demand forecasting to smart factories.

In 2023 he joined Rabobank’s Data Science department as a Product Manager for Network Analytics, where he is responsible for creating value out of Graph Technology.

Rabobank is enabling network analytics for storing, processing, and visualizing connected data in multiple areas, with a specific attention to stopping Financial Economic Crime.

Erik Bijl Image

Erik Bijl

Pre-Sales Engineer at Neo4j

Erik Bijl is a MSc graduate in Computing Science with a specialization in Data Science. In his previous role as Data Scientist in Rabobank he worked on projects with Network Analytics to prevent Financial Economic Crime. In this job he worked with Neo4j as Graph Technology and developed a strong affinity for it.

In 2024 Erik joined Neo4j to work as Pre-sales engineer with a focus on organizations in the financial industry.