In-Business Risk Data Lead Analyst -VP
This role is part of the Markets Data Risk Execution team, focusing on supporting risk management controls, data quality governance, and issue management across Markets.
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).
Responsibilities:
- Data Domain Operationalization: Support Markets Data Risk governance forums and working groups through monitoring, reporting, and issue tracking.
- 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
Knowledge & Experience:
- 6-10 years of relevant experience in Data Management, Business Risk & Controls, Operational Risk, Data Quality, Regulatory Programs, or related functions.
- Experience supporting data quality issue management, governance, controls, or regulatory initiatives within Financial Services.
- Understanding of data governance concepts including data lineage, data quality controls, data dictionaries, and issue management practices.
- Knowledge of Markets products, including Fixed Income, Equities, FX, Derivatives, or related asset classes.
- Understanding of front-to-back business processes, data flows, and control environments within large financial institutions.
- Experience working across business, operations, technology, and control functions.
- Familiarity with data quality frameworks, control design, metrics, and remediation processes.
- Ability to analyze policy, regulatory, and procedural requirements and translate them into actionable business requirements.
- Experience managing multiple workstreams and delivering against competing priorities
Technical Skills:
- Advanced SQL skills for data mining, analysis, and investigation.
- Strong Tableau skills for dashboard creation and data visualization.
- Python and Jupyter Notebook experience for data analysis and automation.
- Strong Microsoft Excel and PowerPoint skills.
- Experience using workflow and issue management tools such as JIRA, DCRM, or similar platforms.
- Familiarity with AI-enabled productivity tools, including Citi Assist and related solutions
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/University degree, Master's degree preferred or professional certifications in data, risk, or financial services are a plus.
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Job Family Group:
Risk Management------------------------------------------------------
Job Family:
In-Business Risk------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location Full Time Salary Range:
$111 600,00 - $161 600,00------------------------------------------------------
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.
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This job opening is for an existing job vacancy.
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