Description

Build and maintain large-scale data provisioning models for financial crimes technology.

This role is hybrid.

Responsibilities

• Design, develop, and test applications within the Financial Crimes technology space to meet business objectives.
• Develop and enhance data provisioning models for large-scale financial crimes data sourcing initiatives.
• Automate and set up continuous integration/continuous delivery (CI/CD) pipelines.
• Analyze and model data, ensuring best practices and governance in data sourcing and provisioning.
• Manage technical aspects of the application, including Change Management, Platform Upgrades, and interfacing application changes.

Required Skills

• 10+ years of applicable experience in software development, with a focus on data systems and financial crime technology.
• Expertise in Hadoop ecosystem components such as HIVE, HDFS, and SPARK.
• Strong experience with PySpark (2.4 or higher) and SQL for data analysis.
• Familiarity with REST API development and integration.
• Experience working in Agile methodologies.
• Ability to perform proof of concept (POC) to mitigate risk or implement new ideas.
• BS/MS in Computer Science, Engineering, or a related quantitative discipline.

Key Skills

Education

Any Graduate