€750 monthly
Number of Applicants
:000+
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Are you a WO Master student currently pursuing a degree in Data Science, Artificial Intelligence, Computer Science, Business Analytics, or a related field? Then we are looking for you!
Tikkie is seeking a motivated Master Thesis Internship – Conceptual Design of AI‑Driven Detecting Financial Crime.
This thesis internship focuses on research and conceptual design within an existing financial crime detection context. The goal is to explore how AI‑based approaches could complement and further strengthen current capabilities for detecting financial crime, resulting in a well‑founded theoretical design suitable for future implementation.
As a Master Thesis Intern, your responsibilities include:
You will be part of Tikkie, a digital payments platform operating at scale within ABN AMRO.
As a consumer‑facing payments product, Tikkie continuously evaluates how technology and data‑driven solutions can be used to maintain and enhance safe, reliable, and user‑friendly payment experiences, including capabilities related to detecting financial crime.
Our environment values ownership, collaboration, continuous improvement, and learning.
This is a hybrid internship. You are expected to work from the office at least two days per week, with flexibility to work remotely on the remaining days.
You are a good match if you meet the following criteria:
A personal work laptop
Monthly internship compensation of €750
An informal, diverse, and professional working environment
Collaboration with experienced professionals in the dynamic payments field
Membership of Young ABN AMRO or other networking groups
Opportunities to develop professional and technical skills
A chance to contribute to Tikkie’s mission
Are you excited by the idea of turning cutting-edge research into real-world impact within a leading financial institution? Then this Master Thesis Internship is for you!
Apply now and take the next step in your career by sending us your CV and cover letter in English. We’re looking forward to learning more about your background, ideas, and motivation to help shape the future of AI-driven financial crime detection!
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