Financial Intelligence Units (FIUs) and law enforcement authorities process large volumes of Suspicious Activity Reports (Geldwäscheverdachtsmeldungen - GVMs) containing unstructured text and structured information. Manual analysis is time-consuming and makes it difficult to identify relevant patterns and connections. The I-WASH project aims to support investigators by applying modern ML methods to accelerate analysis, improve consistency, and reveal relevant structures in GVM data.
Find out more about the Fraunhofer ITWM
The goal of this master thesis is to investigate state-of-the-art ML models and methodologies for the analysis of GVMs.
We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.
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Fraunhofer Institute for Industrial Mathematics ITWM
Requisition Number: 83398
#J-18808-LjbffrVeröffentlichungsdatum:
16 Mär 2026Standort:
KaiserslauternEinsatzort:
Fraunhofer-Gesellschaft, HanauTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
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