Python/Java Developer for Transaction Monitoring

Daily tasks

• 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.

Requirements

• 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.

Nice to Have

• Understanding of Capital Markets products including FX, Equities, Derivatives, and Bonds etc.
• Previous experience in Financial Crime, AML, or surveillance use cases.
• Experience implementing rule-based detection systems, scorecards, or alerting frameworks.
• Experience delivering against NFRs such as performance, scalability, observability, data quality, resiliency, and security.
• Experience with automation, including automated pipeline deployment, data validation, testing frameworks, and workflow orchestration.
• Experience in integrating the solutions with the third party systems (like case management systems).
• A strong “can-do” attitude and the ability to collaborate effectively in a cross-functional team.

Must have: Python, Java, PySpark, SQL, CI/CD