Python/Scala Developer for Transaction Monitoring
Posted
Summary
Build end-to-end capital-markets AML transaction-monitoring detection scenarios on a greenfield architecture: designing data pipelines and implementing detection rules and scoring components. Core stack is Python plus Java/Scala, Apache Spark (PySpark), SQL on distributed on-premise clusters, with Bamboo/Jenkins CI/CD.
Development of end-to-end capital-markets AML detection scenarios in a greenfield architecture.
- Design, implement, and optimise data pipelines to support end-to-end capital-markets AML detection scenarios.
- Implement detection logic, rule frameworks, and scoring components to support financial-crime use cases.
- Ensure high-quality engineering across code, data pipelines, and operational processes.
- Contribute to a greenfield architecture with a strong sense of ownership, innovation, and delivery excellence.
- Strong programming skills in Python and Java.
- Advanced experience with Apache Spark (PySpark), SQL for large-scale distributed data processing.
- Hands-on experience in distributed compute platforms and on-premise cluster environments.
- Proficiency with CI/CD tools such as Bamboo/Jenkins, and Bitbucket.
- 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.
