Hybrid Python and Java Developer: AML & Spark
Summary
Jit is hiring a data engineer for a hybrid Capital Markets project focused on financial crime prevention (AML). Day to day they build scalable data pipelines, detection rules, and scoring models using Python, Java, and Spark on a greenfield platform spanning FX, equities, derivatives, and bonds.
Jit is seeking a skilled data engineer to work on a hybrid project in Capital Markets, focusing on financial crime prevention. You will contribute to building scalable data pipelines, detection rules, and scoring models within a greenfield platform spanning FX, Equities, Derivatives, and Bonds.
You will collaborate in Agile teams, design robust data processing solutions, and leverage Python, Java, and Spark to deliver high-quality engineering across distributed environments.