Markets Data Quality Management Senior Lead Analyst, Senior Vice President at Citi

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality Management, Data Analytics, Financial Products, Data Governance, SQL, Tableau, Python, Data Modeling, Project Management, Risk Assessment, Stakeholder Management, Analytical Skills, Communication Skills, Process Improvement, Data Quality Issues, Data Structures, Data Visualization

Industry

Financial Services

Description

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 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 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 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. 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 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. ------------------------------------------------------

Responsibilities

Manage data quality issue management processes and support data quality governance. Collaborate with business partners to drive change and issue resolution while implementing effective internal data quality controls.