Description

job responsibilities include:

Design, develop, test, and maintain applications in the Financial Crimes technology space to meet business objectives.

Work closely with business partners to define system requirements and translate them into technical specifications.

Develop and enhance data provisioning models for large-scale financial crimes data sourcing initiatives.

Contribute to story refinement, defining requirements, and estimating work necessary for delivery.

Perform proof of concept (POC) as needed to mitigate risk or implement new ideas.

Automate and set up continuous integration/continuous delivery (CI/CD) pipelines.

Manage technical aspects of the application, including Change Management, Platform Upgrades, and interfacing application changes.

Analyze and model data, ensuring best practices and governance in data sourcing and provisioning.

Communicate deliverables and timelines effectively with managers, peers, and business partners.

Follow Agile practices and ensure all enterprise-changing standards are met.

Desired Qualifications:

BS/MS in Computer Science, Engineering, or a related quantitative discipline.

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), SQL, and data analysis, with familiarity in REST API and Agile methodologies

Key Skills

Education

Any Graduate