In-Business Markets Data Risk Sr. Lead Analyst in Mississauga

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 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 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.