Working student - AI Workflow Builder

Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world. 

We are building AI-first operations across every part of our business. As a Working Student — AI Workflow Builder in any department, you will be the person who makes that happen on the ground. You will spend your first few weeks identifying where AI can have the biggest impact in your department, then build, test, and deploy workflows that your colleagues actually use — and then do it again.

This is not a support role. We are looking for people who take initiative, learn by doing, and are comfortable sharing half-finished work with colleagues to get feedback. If you prefer to wait until something is perfect before showing it, this role is not for you.

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  Conduct a 2–3 week use case mapping exercise - interview colleagues, observe workflows, and identify the highest-potential AI opportunities

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  Build and iterate on AI-assisted workflows using Claude and orchestration tools (n8n, Make, or similar) - targeting at least one deployed workflow within your first 6 weeks

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  Present your progress, failures, and learnings at the bi-weekly cross-cohort showcase - visibility and knowledge sharing are a core part of your role

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  Document successful workflows so that your colleagues can use them without your help - your goal is to make yourself redundant, then build the next thing

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  Act as your department's first point of contact for AI tool questions, and advocate for what your department needs from the shared data and connector layer

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  Collaborate with the Data & Connectors and IT & Security working students to access approved data sources and stay within security boundaries

• Currently studying Business / Management, Computer Science, or Business Informatics - or demonstrable equivalent self-learning and project experience

• Has personally used AI tools and can give specific examples of how - not just aware that they exists

• Builds things in their spare time - side projects, personal automations, experiments. We want evidence of initiative, not just academic achievement

• Comfortable with ambiguity - the use cases you work on do not exist yet; you will define them

• Strong communicator - you will work with non-technical colleagues

• Basic scripting ability (Python or JavaScript) is helpful but not required - willingness to learn is essential

Every candidate must build and present a 10-minute live AI agent demo as part of the interview process. The demo should address a realistic use case. It does not need to be polished or production-ready — we are assessing how you think about applying AI to real problems, not your slide design.