Data Engineer (AML Detection)

Описание Sneior Data Engineer role focuses on delivering consultancy services aimed at enhancing anti-money laundering detection systems within capital markets, ensuring high-quality engineering and innovation.

Задачи • Design, implement, and optimise data pipelines for AML detection scenarios. • Implement detection logic, rule frameworks, and scoring components for financial crime use cases. • Ensure high-quality engineering across code, data pipelines, and operational processes. • Contribute to a greenfield architecture with ownership and delivery excellence.

Требования • Strong programming skills in Python and Java. • Advanced experience with Apache Spark (PySpark) and SQL for large-scale data processing. • Hands-on experience in distributed compute platforms and on-premise clusters. • Proficiency in CI/CD tools such as Bamboo/Jenkins and Bitbucket. • Quantexa Scala experienced. • Experience working in Agile teams, with the ability to work independently in fast-paced, evolving environments. • Strong analytical and problem-solving skills with the ability to adapt quickly. • Будет плюсом: Understanding of Capital Markets products including FX, Equities, Derivatives, and Bonds; Experience in Financial Crime, AML, or surveillance use cases; Experience with rule-based detection systems, scorecards, or alerting frameworks; Experience with automation in pipeline deployment, data validation, and workflow orchestration; Experience integrating solutions with third-party systems;…