In-business markets data risk sr. lead analyst

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 2 Lo D 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).
Key Responsibilities
Data Quality Management: Manage data quality (DQ) issue management processes and support DQ governance in various forums
Issue Triage & Guidance: Engage in DQ issue triage, prioritize business needs, and provide proactive guidance to partners
Control Implementation: Implement processes for effective internal data quality controls, monitor DQ reports, metrics, and drive continuous improvement to reduce inherent risks
Reporting & Remediation: Implement data quality reporting by defining and implementing business, data, and system-related control and issue remediation frameworks.
Stakeholder Collaboration: Work closely with business partners on findings, make recommendations, and coordinate with stakeholders to drive change and issue resolution
Policy Adherence: Understand and ensure compliance with relevant policies (e.g., Citi Data Governance Policy), identify new requirements applicable to markets, and remediate gaps
Risk Assessment: Appropriately assess risk in business decisions, ensure compliance, and escalations/manage control issues transparently
SME & Autonomy
Act as a Subject Matter Expert (SME) to senior stakeholders and operate with a limited level of direct supervision
Essential Knowledge & Experience
Markets Data Expertise: 10+ years in Data Analytics within Banking (Markets), with a strong grasp of financial products, operational intricacies, and various Markets asset classes (Fixed Income, Equities, Derivatives, FX), including their data structures and valuation methodologies
Data Understanding: Comprehensive understanding of data's role in business decision-making, including data modeling and manipulation patterns
Data Quality Themes: Knowledge of typical data quality issues at process touchpoints in complex technology environments
Technical Skills
Strong data mining skills with advanced SQL
Advanced Tableau for data analysis and visualization
Advanced Python/Jupyter for data analysis
Proficiency with Excel and Power Point
Issue & Governance Tooling: Ability to manage tasks in issue management tools (e.g., JIRA, DCRM)
Data Governance: Experience in data governance or data quality issue management (IM) using glossary, lineage, and DQ tools
Governance Framework: Expert in creating and executing robust governance frameworks to improve data quality and meet regulatory commitments
Project Management: Knowledge of structured project management techniques in a front office environment
Regulatory & Control: Industry experience in data, data management, and/or regulatory initiatives; knowledge of data methodologies, controls, thresholds, and data quality rules
Process Flows: Demonstrable experience in front-to-back data process flows, risk and control, and support functions within a large