Python/Scala Developer for Transaction Monitoring

Technologies we use

About the project

Your responsibilities

• 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.

Our 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.

What we offer

• 3 days per week at the office.

Benefits