The opportunity
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.
What you'll do
Behavioural Fraud
Regulatory Reporting Technology
Customer Risk
Account Risk Engine
Research, design, implement, train, deploy and monitor machine learning: algorithms, either for batch prediction or real-time. Examples include: on-line learning algorithms to pick the best optimization decision in a changing environment, clustering algorithms to group customers/shoppers, supervised and semi-supervised learning methods for inference on risk patterns or graph analysis, representation learning for behavior prediction and monitoring, Anti-Money Laundering (AML) systems and real-time anomaly detection based on time-series modeling;
Develop orchestrated pipelines for analytical purposes and machine learning training;
What they're looking for
- Contribute to ongoing automation efforts for our experiments, training runs,: validation runs and monitoring before, during and after deployment. Furthermore, collaborate with MLOps to improve our machine learning tooling;
- Collaborate closely with product managers and business stakeholders to: understand requirements, define problems, and frame them as solvable machine learning tasks;
- Explore and analyze large, complex datasets to identify patterns, insights,: and opportunities for ML-driven solutions;
- Define key performance metrics, design rigorous experiments (e.g., A/B: tests), and perform statistical analysis to validate model performance and quantify business impact;
