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# Working Student - Compliance Automation & AI

- **Company:** Pliant
- **Location:** Berlin, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Databases, Database Applications, Google Maps, Monitoring of Systems, Python (Programming Language), SQL Databases, Large Language Models, Claude Code, Prompt Engineering, Zapier, Generative AI, AI Coding Agents, Git, Information Technology, Api Management
- **Published:** October 23, 2026
- **Apply:** https://startup.jobs/working-student-compliance-automation-ai-m-f-d-pliant-10566341

## About the Role

* 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.

## Description

We are looking for an exceptional working student to join our team - someone who wants to build expertise in fintech and banking, sharpen their analytical skills, and work alongside senior specialists on critical operational risk topics.

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., * 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.