This job is responsible for designing and overseeing common, reusable, and scalable software components which are either domain independent (e.g., generic data quality tools over billions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Key responsibilities include enabling Global Risk Management's data and analytical capabilities. Job expectations include working with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. This role is responsible for contributing to the strategy, design and implementation of data architecture and reporting solutions for Anti-Money Laundering (AML). The individual will play a key part in shaping scalable data frameworks, establishing best practices, and delivering high impact reporting capabilities to support business decision making.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees