In-Business Markets Data Risk Sr. Lead Analyst - SVP

Job description

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). 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 escalate/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 PowerPoint 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 bank/dealer Legislative Analysis: Experience in analyzing legislative, regulatory, and legal/compliance texts. Qualifications Executive Communication: Excellent oral and written communication skills, expertly crafting compelling narratives through data storytelling and monitoring controls, with the judgment and authority to deliver insightful commentary and recommendations to senior stakeholders Strategic Thinking: Ability to understand the bigger picture while focusing on critical details, including process purpose, products, data capture, and reports Analytical Skills: Strong analytical and problem-solving skills, attention to detail, and ability to understand process steps for remediation Tool Proficiency: Excellent proficiency in Tableau, PowerPoint, Word, Outlook, and Teams, and daily use of AI Influence & Project Management: Effective organizational influencing skills and strong project management capabilities to drive initiatives to completion Collaboration: Ability to coordinate with other data management roles (Process Owners, Data Stewards) Strategy & Improvement: Demonstrated ability to develop and implement strategy and process improvement initiatives Education: Bachelor’s Degree/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: In-Business Risk ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: $141 600,00 - $212 400,00 ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Controls Lifecycle, Credible Challenge, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. ------------------------------------------------------ This job opening is for an existing job vacancy. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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