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About the Role

Join our team as a Working Student in Compliance Automation & AI, focusing on fintech and banking operations. You will sharpen analytical skills and work on critical operational risk topics, leveraging data-driven applications, Python, and AI tools to enhance efficiency and insight. Collaborate with Compliance, Risk, Product, and Engineering teams for hands-on experience.

Responsibilities

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

Requirements

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.
Interest in fintech and curiosity about compliance topics such as AML/KYC and sanctions screening.
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.

Skills

Data analysis
Workflow automation
Reporting
Python
SQL
LLMs
Prompt engineering
API integrations
Data visualization
BI tools
Git

Location

Berlin

Work Type

Hybrid
Working student

Experience Level

Working student

Education Level

University program in computer science, data science, business informatics, engineering, or a related quantitative field

Salary/Compensations

Attractive remuneration

Benefits

Monthly mobility benefit
Wellhub Membership
Pliant Card with monthly credit

About the Company

Pliant is a modular B2B payments platform that combines commercial card issuing, payment accounts, FX, and spend management in one system.
Businesses across industries such as travel, e-commerce, and insurance use Pliant to manage complex payment workflows with cards, backed by credit lines Pliant underwrites itself.
Fintechs and software platforms embed Pliant's payment infrastructure into their own products, from API-based Cards-as-a-Service to fully white-label solutions.
Banks use Pliant's Card & Spend OS, the customer-facing interface, on their own infrastructure to run card programs.
Founded in 2020 and headquartered in Berlin, Pliant serves 5,000+ businesses and 40+ partners across Europe and the United States.
A principal member of Visa and Mastercard, Pliant issues commercial cards in 13 currencies across 32 countries — under its own European e-money license and with licensed partners in the UK and US.

Equal Opportunity

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.