Top Data & Analytics Jobs

As a Data Engineer at Adyen, you will build and maintain high-quality data pipelines and architectures, collaborate with stakeholders to understand data requirements, establish best practices, and ensure data accuracy and optimization. You will also promote a data-centric culture within the organization.

The Compliance AML Analytics Expert will support the transaction monitoring framework by advising on analytics for AML efforts, drafting guidelines, conducting risk assessments, creating validation tools, liaising with stakeholders, and enhancing knowledge management on AML and data analytics.

As a Regulatory Compliance Manager, you will support the APAC Regulatory team by managing regulatory reporting, corporate governance, and audit processes. You will provide compliance guidance and legal research while collaborating with various teams to ensure sustainable growth and compliance across APAC markets.

The Machine Learning Engineer in the MLOps team will develop, deploy, and operate MLOps tooling and services, handle model training and tracking, ensure stable model deployment, and oversee infrastructure scalability while collaborating with data science teams.

The Compliance AML Analytics Expert will advise on transaction monitoring and analytics in AML, draft procedures, support new product launches, create validation tools, liaise with stakeholders, and enhance knowledge management across the business.

As a Senior Data Engineer at Adyen, you'll design and implement high-quality data pipelines and architectures, ensuring seamless data flows, optimizing performance, and championing data best practices. You'll collaborate with various stakeholders to develop scalable solutions, maintain data accuracy, and drive a data-centric culture.

As a Senior Machine Learning Scientist at Adyen, you will design, develop, and implement machine learning algorithms for various data products. This includes creating orchestration pipelines, automating experiments, and collaborating with MLOps. You are expected to stay current with machine learning advancements and apply them effectively in your work, while also leading projects from ideation to deployment.