Conceptual Design of AI‑Driven Detecting Financial Crime
🕙 32-36 hours per week
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Data Science @ 3
Communication @ 6
Networking @ 3
Fraud @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Responsibilities
- Conduct academic research on detecting financial crime and AI applications in a payments context
- Gain a high level understanding of financial crime challenges and existing detection approaches
- Translate research insights into clearly defined AI related problem statements
- Design a conceptual AI driven approach for detecting financial crime that builds on existing measures
- Describe the conceptual model, decision logic, and high level system interactions
- Assess feasibility, limitations, and ethical considerations
- Document research choices, assumptions, and outcomes in a Master thesis
Working environment
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.
Requirements
- Enrolled in a WO Master's program in AI, Data Science, Computer Science, Business Analytics, or a related field
- Strong analytical and conceptual thinking skills
- Interest in fraud, risk management, and data driven decision making
- Ability to structure academic research and work independently
- Comfortable translating theory into practical, high level concepts
- Strong written and verbal communication skills in English
- Curious, critical, and open to feedback
- Available for approximately 5 months
- Enrolled in a Dutch educational institution for the full internship period
Benefits
- 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
Application
Apply by sending your CV and cover letter in English. The application process includes online application, CV selection and feedback, job interview(s), possible assessment, job offer, and onboarding.