Compliance Data Analyst

Requirements

• Technical: 5+ years in Data Analytics/Science. You are highly proficient in SQL, Python, and PySpark.
• Big Data Savvy: Experience with Spark, Airflow, and Git is essential for our scale.
• Strategic: You don’t just pull data; you tell a story. You can explain technical gaps to Legal, Compliance, or Regulators in plain English.
• Automation-First: You have a natural "lazy-efficient" streak—if a task is manual, your first instinct is to build a script to kill it.
• Fintech Background: Previous experience in AML, KYC, or Sanctions is a huge plus, but the ability to navigate complex datasets is a must.

What You'll Be Doing

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

Nice to Haves

Perks and Benefits

• Opportunities for career advancement
• Culture of support and enablement
• Engaging technical challenges at scale
• Innovative and ethical solutions