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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.
Job Responsibility:
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
Requirements:
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