Compliance Data Analyst

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

The Role

The Compliance Data team sits at the intersection of regulatory excellence and data innovation. We don't just "report" on compliance; we build the analytical engine that ensures Adyen scales safely. Our mission is to manage risk at scale through automated, platform-wide data solutions that identify risks before they become issues.

What will you do

• Automate Compliance: Replace manual, sample-based processes with scalable solutions that cover our entire global portfolio.
• Bridge the Gap: Translate complex regulatory requirements into clear data points and prioritized roadmap items
• Build data literacy: Drive adoption of data skills to elevate data fluency, enable self-service analysis, and foster data-driven decision making.
• Monitor Risk: Design and maintain frameworks to proactively detect compliance gaps across Adyen’s global platform.
• Own Data Integrity: Partner with Engineering to refine data structures, ensuring our compliance assets are accurate, accessible, and audit-ready.
• Drive Strategy: Define and support cross-functional initiatives that transition our compliance approach from reactive to data-driven.

Who you are

• Technical : you are proficient in SQL, Python, and PySpark , specifically within Big Data using Spark, Airflow, and Git essential for our scale.
• Strategic : you are able to collaborate with non-technical teams and translate business requirements into technical plans.
• Detail-oriented: you are able to pinpoint inaccuracies and analyze behavior within large datasets with a company-wide impact.
• Automation-First : Identify and prioritize automation opportunities, balancing efficiency gains with an understanding of day-to-day operational realities
• You have a background in Compliance, Finance, Risk, or similar industries and teams and understand the importance and inner working of working within a highly regulated banking environment.

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as man