Senior AML Compliance Data Specialist

Slashhash; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Adyen in Amsterdam seeks a Senior AML Compliance Data Specialist to join its AML Compliance Analytics team. You will design FEC risk scenarios, challenge the First Line, and defend monitoring controls to regulators.

The role requires hands-on Python/PySpark and Looker skills, plus 5+ years in AML or Financial Crime. You will influence risk decisions across stakeholders and drive continuous improvement of the global framework.

Qualifications

• 5+ years of experience in AML, Financial Crime, or Compliance Analytics.
• Hands-on Python and PySpark experience with Looker skills.
• Ability to design FEC risk scenarios and defend monitoring controls.

Responsibilities

• Draft FEC risk scenarios that define financial crime risks for transaction monitoring.
• Inform, advise, and independently challenge the First Line on design, implementation and effectiveness of detection methods.
• Draft and review procedures, guidelines, and model documentation with regulatory rationale.
• Support new product launches by assessing risks to the current framework and managing changes.
• Create validation tools and run data analysis to identify enhancements and drive improvement.
• Represent and defend controls to Model Validation, Internal Audit, and regulators, and own remediation of findings.
• Align stakeholders and represent Second Line AML Compliance in cross-functional workstreams.

Skills

AML

Financial Crime

Compliance Analytics

FEC risk scenarios

Transaction monitoring frameworks

Python

PySpark

Looker

Data analysis

Model Validation

Internal Audit

Regulatory defense

Job description

Adyen is seeking a Senior AML Compliance Data Specialist to join its AML Compliance Analytics team in Amsterdam. The role involves designing FEC risk scenarios, challenging the First Line, and defending transaction monitoring controls to regulators. Requires 5+ years in AML, Financial Crime, or Compliance Analytics, with hands-on Python/PySpark and Looker skills.

Technical (Must-have)

• AML
• Financial Crime
• Compliance Analytics
• FEC risk scenarios
• Transaction monitoring frameworks
• Python
• PySpark
• Looker
• Data analysis
• Model Validation
• Internal Audit
• Regulatory defense

Soft Skills

• Stakeholder management
• Analytical thinking
• Autonomy
• Communication
• Mentoring
• Influence
• Problem-solving
• Adaptability

Key Responsibilities

• Draft FEC risk scenarios that define the financial crime risks that our transaction monitoring must cover.
• Inform, advise, and independently challenge the First Line on the design, implementation, and effectiveness of detection methods, and ultimately approve changes to the transaction monitoring framework as risk owner.
• Draft and review procedures, guidelines, and technical model documentation, ensuring regulatory rationale for analytical choices is clearly defined.
• Support new product launches by assessing the risks to our current framework and managing any required changes.
• Create validation tools and run data analysis to identify enhancements and drive continuous improvement of the global framework.
• Represent and defend our controls to Model Validation, Internal Audit, and regulators, and own remediation of findings.
• Align diverse stakeholders and represent Second Line AML Compliance in cross-functional workstreams that support controlled growth.

AML, Financial Crime, Compliance Analytics, FEC risk scenarios, Transaction monitoring frameworks, Python, PySpark, Looker, Data analysis, Model Validation, Internal Audit, Regulatory defense, 5 years of relevant experience