KeyStep

Machine Learning Scientist - Regulatory Reporting Technology

Adyen
Amsterdam, Netherlands
about 3 hours ago
full-time

Skills & Technologies

Machine LearningSparkHadoopFinancial ModellingComplianceRegulatoryReportingRegulatory Reporting

Job Description

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.

MLS - Regulatory Reporting Tech

At Adyen, we are the financial technology platform of choice for the world’s leading companies. The Regulatory Reporting Tech team is critical to ensuring compliance with complex reporting requirements. The Regulatory Financial Modelling & Analytics team, a new workstream within Regulatory Reporting Tech, is responsible for meeting the immediate and increasing need for regulatory financial modeling capabilities and risk evaluation.

We operate at the intersection of data and actionable insights. By leveraging Adyen’s global payment flow data, we apply advanced statistical models to enable accurate reporting and risk evaluation. We are looking for a Machine Learning Scientist to help us further automating and scaling our global regulatory reporting framework to keep Adyen compliant across all markets.

In this role, you will

Build – Design and scale production-ready ML models to support regulatory reporting and risk requirements. You will own the end-to-end lifecycle, from feature engineering within our Big Data ecosystem (Spark/Hadoop) to building the internal infrastructure.

Discover – Move beyond simple detection to build automated root-cause analysis. You will develop logic that translates complex statistical signals into actionable recommendations.

Collaborate – Work at the heart of a product-dri

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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