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This role is part of the Markets Data Risk Execution team, focusing on improving and enhancing risk management controls and processes for Markets data. The team supports data quality issue management, governance, and analytics across all aspects of data risk for both First- and Second-Line functions. The team works closely with Global Markets Trading Businesses, In-Business Risk (IBR), Market Risk, Finance and other 2LoD in setting standards and procedures, leading governance, building and managing controls across processes and activities within Markets processes, Standardized Approach for calculating Counterparty Credit Risk under Basel regulations (SA-CCR) and Fundamental Review of the Trading Book (FRTB) Standardized Approach (SA) and Credit Valuation Adjustment (CVA).
Job Responsibility:
Manage data quality (DQ) issue management processes and support DQ governance in various forums
Engage in DQ issue triage, prioritize business needs, and provide proactive guidance to partners
Implement processes for effective internal data quality controls, monitor DQ reports, metrics, and drive continuous improvement to reduce inherent risks
Implement data quality reporting by defining and implementing business, data, and system-related control and issue remediation frameworks
Work closely with business partners on findings, make recommendations, and coordinate with stakeholders to drive change and issue resolution
Understand and ensure compliance with relevant policies (e.g., Citi Data Governance Policy), identify new requirements applicable to markets, and remediate gaps
Appropriately assess risk in business decisions, ensure compliance, and escalate/manage control issues transparently
Act as a Subject Matter Expert (SME) to senior stakeholders and operate with a limited level of direct supervision
Requirements:
10+ years in Data Analytics within Banking (Markets)
Strong grasp of financial products, operational intricacies, and various Markets asset classes (Fixed Income, Equities, Derivatives, FX)
Comprehensive understanding of data's role in business decision-making, including data modeling and manipulation patterns
Knowledge of typical data quality issues at process touchpoints in complex technology environments
Strong data mining skills with advanced SQL
Advanced Tableau for data analysis and visualization
Advanced Python/Jupyter for data analysis
Proficiency with Excel and PowerPoint
Ability to manage tasks in issue management tools (e.g., JIRA, DCRM)
Experience in data governance or data quality issue management (IM) using glossary, lineage, and DQ tools
Expert in creating and executing robust governance frameworks
Knowledge of structured project management techniques in a front office environment
Industry experience in data, data management, and/or regulatory initiatives
knowledge of data methodologies, controls, thresholds, and data quality rules
Demonstrable experience in front-to-back data process flows, risk and control, and support functions within a large bank/dealer
Experience in analyzing legislative, regulatory, and legal/compliance texts
Excellent oral and written communication skills
Strong analytical and problem-solving skills, attention to detail
Excellent proficiency in Tableau, PowerPoint, Word, Outlook, and Teams, and daily use of AI
Effective organizational influencing skills and strong project management capabilities
Ability to coordinate with other data management roles (Process Owners, Data Stewards)
Demonstrated ability to develop and implement strategy and process improvement initiatives