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As a key member of Citi’s Data Engineering department in the Liquidity Integration & Transformation team, you will play a critical role in developing and optimizing Citi’s data infrastructure to support liquidity risk management, regulatory reporting and financial forecasting.
Job Responsibility:
Report on risks when business decisions are made and escalating, managing and reporting control issues with transparency
Analyze, filter, prioritize and validate potentially complex and dynamic datasets from multiple sources using SQL programming expertise to contribute to logic development of processes and workflow for liquidity risk and regulatory projects
Build project documentation Business Requirements, Functional Requirements, Architecture Flows, Test Use Cases are maintained for all projects
Contribute to technical and functional direction and strategic discussions in all development and implementation phases applying in-depth disciplinary knowledge and the improvement of processes and workflow for the area or function
Deliver meeting actions in timely manner and ensure all owners are on track
Draft architecture, strategy, planning, and problem-solving solutions on an enterprise level
Coordinate data models to be onboarded or enhanced and ensure that defined standards are followed and that models are capable of handling current and future expectations
Deliver impact analysis and coordinated UAT/PROD efforts for changes to existing systems/data flows for downstream consumers and plan changes accordingly
Regularly assumes informal/formal leadership role within teams and heavily involved in coaching and training of new team members
Implement metadata driven frameworks for data processing/transformation and build real-time processing solutions for regulatory initiatives
Identify and apply optimization techniques to improve technology performance
Coordinate across teams, vendors and business stakeholders to align work efforts, develop and execute strategic and tactical plans that enable successful upgrade
Execute SQL data analysis and writing complex logics using analytical functions to help business users where required
Requirements:
7+ years relevant experience on implementing and leading data engineering solutions for large scale initiatives
well-versed to manage large and global teams in areas related to IT Business Analyst
IT Projects Design and Development
Data & Database Architecture
Project Management
Software Development Life Cycle
Technical: SQL, Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word, Visio+), JIRA, Confluence
Knowledge of Capital Markets (Equities and respective Derivatives, Fixed Income, Commodities), Wholesale Banking, Treasury Functions, Financial Reporting, Risk Management
Knowledge of technology solutions in one or more of the functional areas is preferable – Banking or Trading Book products
Excellent written and verbal communication to various stakeholders (i.e. presentation and leadership)
Ability to prioritize important tasks and manage time efficiently to ensure timely delivery of regulatory requests
Well-versed experience in Program or Project Management
Ability to develop and foster working relationships with key Business stakeholders
Manage changing priorities under high pressure environment
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