Markets Data Controls Lead, Vice President at Citi

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality, SQL, Risk Management, Data Governance, Stakeholder Management, Data Controls, Python, Data Analysis, Financial Products, Control Assessments, Exception Management, Data Profiling, Metadata Management, Communication Skills, Continuous Improvement, Attention to Detail

Industry

Financial Services

Description

Lead the end-to-end lifecycle of Data Controls for CDEs, encompassing assessment, requirements definition, partnering with Technology on design/build, testing, and transition to BAU with Data Managers and Control Owners Identify and address critical data quality themes arising from process interdependencies within large, complex technology environments. Partner with Markets SMEs to run control assessments, reviewing CDE level requirements against existing controls, ensuring data is properly controlled at the appropriate measurement points and assessing if a gap exists Own all control deliverables for Use Case Gap assessments and solutioning activities, which includes reviewing Use Case CDEs, analyzing consumer data quality requirements, identifying existing controls, and solutioning for identified control gaps. Facilitate and monitor adherence to Data Quality dimensions (completeness, accuracy, timeliness, consistency), acting as a Subject Matter Expert (SME) for data control requirements across Risk, Finance, Compliance, and Markets Use Cases Coordinate with Technology to rationalize and address control gaps by providing recommendations, defining enhancements, and overseeing remediation efforts Provide inputs into optimization of controls, recommending enhancements to existing Data Quality and control framework Coordinate with Technology to address control gaps by providing recommendations, defining enhancements, and ensuring gaps are remediated Partner with Control Owners and Business Stakeholders to manage data exceptions, including remediation planning and escalation processes, proposing solutions and mitigation strategies Engage Markets SMEs and Data Consumers to validate control effectiveness and ensure mitigation of risks Collaborate with Business to understand Data Control requirements and identify control gaps, then coordinate with Technology team to obtain data profiling results Drive DQ control refinement through data profiling, collaborating with technology to analyze results, identify high exceptions, and implement targeted control conditions to reduce false positives Cultivate and lead technology partnerships, delivering prioritized requirements and scope, and establishing clear processes and ownership 8+ years of relevant experience in Data Quality within Banking, specifically within Markets, demonstrating a strong grasp of financial products and their operational intricacies Expert understanding of various Markets asset classes (e.g., Fixed Income, Equities, Derivatives, FX), including their data structures, valuation methodologies, and market behaviors, crucial for accurate data analysis and actionable insights Highly proactive individual with a strong sense of ownership and a demonstrated drive to achieve impactful results Strong SQL skills with ability to read and write complex scripts, leveraging queries for data analysis, anomaly detection, and validation or data quality and controls Proven ability to effectively manage diverse stakeholders and communicate complex information to senior and executive leadership with judgment and authority, leveraging excellent oral and written communication skills for insightful commentary. Comfortable managing multiple priorities and tasks with accountability for deliverables Strong understanding of data governance principles, including CDE frameworks and governance, data controls, Data Quality practices and dimensions, and their application Hands-on experience with CDE level data controls implementation, data cataloging, metadata management, and Data Quality monitoring/profiling tools (e.g., Collibra) Understanding of exception management processes, and ability to interpret and escalate Data Quality or Governance issues Extensive experience in Risk and Control functions (First/Second Line) or relevant consulting within Markets or Financial Services, including proficiency in control assessments, testing, and the implementation of risk mitigation actions. Advanced proficiency in Python for producing data analysis, outcomes, and metrics, coupled with comfort in presenting these insights to key stakeholders. Demonstrated initiative in identifying opportunities for enhanced data insights and driving continuous improvement. Prior consulting experience within financial services or a related industry. Exceptional attention to detail in the analysis and documentation of data and business requirements. Ability to manage task level detail in JIRA Bachelor's/University degree or equivalent experience, potentially Master's degree ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: In-Business Risk ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Analytical Thinking, Business Acumen, Constructive Debate, Escalation Management, Issue Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Stakeholder Management. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jan 14, 2026 ------------------------------------------------------

Responsibilities

Lead the end-to-end lifecycle of Data Controls for CDEs, including assessment, requirements definition, and transition to BAU. Identify and address critical data quality themes and partner with various stakeholders to ensure effective data control.