Working Student – Compliance Automation & AI (m/f/d)

As a Working Student – Compliance Automation & AI (m/f/d), you’ll sit at the intersection of fintech, data, and operational risk management. You’ll work on high-impact tasks in client onboarding, risk profiling, and transaction surveillance — while leveraging data-driven applications, Python, and AI tools to enhance efficiency and insight.

You’ll collaborate closely with our Compliance, Risk, Product, and Engineering teams, gaining hands-on experience in one of Europe’s fastest-scaling fintechs.

This role is Berlin-based with the ability to work at least 2 days per week from our Berlin HQ.

WHAT YOU’LL DO

Onboarding, Risk & Transaction Surveillance

• Verify corporate clients (KYB), identifying legal representatives and beneficial owners through global databases and registries.
• Assess customer risk profiles using structured data, defined frameworks, and regulatory guidelines.
• Review AML alerts from monitoring systems, flag anomalies, and escalate potential cases to senior specialists.
• Analyze transaction patterns to detect suspicious behaviors or potential financial crime indicators.
• Prepare and maintain accurate digital credit files in compliance with internal policies.
• Contribute to the refinement of detection rules to reduce false positives and improve monitoring effectiveness.

Data & Technology Integration

• Work with data-driven applications to support decision-making in compliance and monitoring.
• Use Python for data analysis, workflow automation, and reporting.
• Develop and maintain local LLM-based applications.
• Apply prompt engineering to accelerate research, document drafting, and case analysis.

Process Innovation

• Collaborate with Product and Engineering to improve tools, workflows, and system logic.
• Suggest automation opportunities and AI-driven enhancements.

WHAT YOU’LL BRING

• Enrolled in a university program in computer science, data science, business informatics, engineering, or a related quantitative field, with a strong academic track record.
• Hands-on automation experience (n8n, Make, Zapier, or code-based pipelines), including API integrations.
• Proficiency in Python and SQL.
• Practical experience with LLMs and prompt engineering.
• Structured, detail-oriented, and disciplined about testing and documenting what you build.
• Fluent in English; German or other European languages are a plus.

Nice to have

• Interest in fintech and curiosity about compliance topics such as AML/KYC and sanctions screening. Regulatory knowledge is not required; you'll learn it on the job.
• Experience with data analysis, visualization, or BI tools such as Metabase.
• Experience with Taktile or other rules engines, or with KYB/registry/Google Maps APIs.
• Familiarity with Git and AI coding tools such as Claude Code.

WHAT WE OFFER

• The opportunity to work in a growing team with big responsibilities that thrives on a strong exchange of knowledge and excellence
• Attractive remuneration
• Flat hierarchy and transparent communication in a relaxed, professional atmosphere
• Opportunity to develop your talent in a dynamic team with ambitious goals
• Flexibility and possibility to work remotely
• Monthly mobility benefit
• Wellhub Membership
• Pliant Card with monthly credit to explore the product and enjoy food with colleagues

Pliant is an equal opportunity employer. We welcome applications from people of all backgrounds, identities and abilities, and are committed to an inclusive hiring process. If you need any accommodations during the interview process, please let us know.

At Pliant we use the Ashby AI Criteria to assist with looking over resumes against our job qualifications for this role. All final decisions are made by our Talent Team and Hiring Team.

A human is behind these processes. Ashby does not automatically reject candidates or make final hiring decisions. Our teams review all results and make the final hiring decision with every candidate that applies.

Wir zeigen einen Auszug und einen Link je Anzeige, und den vollen Text, wenn die Quelle es erlaubt. Genannte Marken und Logos gehören ihren Inhabern.

Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung