AML Compliance Analytics Expert

Adyen
AmsterdamPosted 20 March 2026

Tech Stack

Job Description

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, HM, 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. AML Compliance Analytics Expert Our AML Compliance Analytics team —a specialized unit within the Second Line AML Compliance team— is looking for an experienced AML Analytics Expert. You possess a sharp analytical mindset coupled with deep knowledge of Anti-Money Laundering and Financial Economic Crime (FEC) risk scenarios. This expertise will enable you to effectively advise and independently challenge the First Line teams on both the regulatory intent and the technical aspects of Adyen’s transaction monitoring framework. The AML Compliance Analytics team provides global oversight of Adyen’s transaction monitoring framework. In our dynamic environment, this framework is subject to continuous refinement to meet emerging threats and evolving industry standards. In this role, you will be a key contributor in a high-stakes ecosystem, working closely with the teams responsible for developing and maintaining the transaction monitoring processes, the AML investigative teams, and critical stakeholders such as Model Validation, Internal Audit, and global regulators. What you’ll do Strategic challenge: Inform, advise, and independently challenge the First Line on the design, implementation, and effectiveness of FEC risk scenarios relating to the transaction monitoring framework; Technical governance: Draft and review procedures, guidelines, and technical model documentation, ensuring the regulatory rationale for analytical choices is clearly defined; Risk-first innovation: Support new product launches by conducting risk assessments and designing robust monitoring methods to mitigate emerging financial crime threats; Analytical validation: Create validation tools and perform thematic data analysis to identify enhancements and drive continuous improvements to the global transaction monitoring framework; Regulatory liaison: Liaise with internal and external stakeholders —such as Model Validation, Internal Audit, and regulators— to demonstrate the effectiveness of our controls; Global alignment: Represent the Second Line AML Compliance team in cross-functional workstreams to ensure transaction monitoring strategies align with global objectives and support controlled growth; and, Expertise scaling: Strengthen global knowledge management across the business specifically regarding the intersection of AML typologies, data, and analytics. Who you are The industry expert: You have at least 4 years’ experience in the payments or banking industry, with a focus on AML, Financial Crime, or Compliance Analytics; The scenario specialist: You have a proven track record in developing, tuning, or advising on FEC risk scenarios and transaction monitoring frameworks ( e.g. , working with data teams in a compliance/risk setting); The project owner: You have excellent organizational skills and the ability to manage complex analytical projects from conceptual risk assessment to final launch; The technical practitioner: You are comfortable writing queries in Python/PySpark to analyze large datasets and have experience using visualization tools like Looker to communicate findings; The agile learner: You are a quick learner who thrives in a “Launch fast and iterate” environment, balancing speed with regulatory rigor; and, The communicator: You possess strong communication skills, with the ability to translat ... (truncated, view full listing at source)
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