Citi is a leading global financial services company having 200 million customer accounts. Citi does business in more than 100 countries, providing consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, and wealth management.
The Full Suite-Genesis Data Quality Senior Analyst will be part of Data Management Operations team under Chief Data Office (CDO) organization.
He / She will have the following key responsibilities :
Implement and reinforce strong adherence to the standard operational, risk and control processes as it relates to Full Suite-Genesis Operating Model;
Manage and lead junior to intermediate level team members to deliver the following key activities : Perform daily trend analysis of Operational Matching exception reportsReview Operational Matching exceptions (SGL orphans) and investigate root cause of new exceptionsIdentify both tactical and strategic remediation to resolve Operational Matching exceptions (SGL orphans)Execute tactical data remediation of data quality issues in Full Suite in adherence to existing governance and controls frameworkIdentify appropriate strategic remediation of data quality issuesPerform end-to-end requirements management and end-to-end testing of Full Suite change requests as it relates to strategic remediation of data quality issuesRaise IMR (Issue Management Resolution) form where identified as the strategic remediation path, and monitor delivery of suchManage and address data quality queries / issues on Full Suite-Genesis production data through proper acknowledgement and timely feedback to data usersConduct second-level investigation on medium to complex data quality queries / issues on Full Suite-Genesis production data and propose resolution path (both tactical and strategic)Escalate timely to appropriate resolver groups, e.
g. technology teams, if data investigation requires expertise outside of the team, and follow through accordingly
Effectively manage escalations from different stakeholders, and establish and manage partnership with key business counterparts : within Chief Data Office (CDO), GFTS Technology teams, and Finance & Risk Shared Services (FRSS)
Prepare and communicate production support related operational metrics and KPIs within CDO;
Manage, lead and support small to medium size projects and initiatives related to data services such as but not limited to process reviews and process efficiency enabler implementation;
Supervise junior to intermediate level team members, support team collaboration, career growth, and mentorship.
6 to 8+ years of relevant work experience around data management, data quality, financial or regulatory reporting, or product control in large financial services, consulting, shared services’ operations related or similar industry;
2 to 3+ years of leadership role and people management work experience is preferred;
Strong people management and conflict management skills;
Agile leadership or ability to adopt different leadership styles as called for by the situation;
Solid analytical skills, combined with an ability to deliver analyses in a concise and logical manner;
Logical and analytical data tracing / mining experience is a plus;
Knowledge of research methods, relational database or data relation discipline problem solving is preferred;
Intermediate to advance working knowledge and experience on MS Suite Applications especially around MS Excel, Word, PowerPoint and Access;
SQL knowledge is highly preferred;
Knowledge of bank product / s (Deposits, Loans, Securities, Derivatives, etc.) is preferred;
Subject matter expertise on product knowledge and reporting requirements for Loans, Trade Products, and / or Derivatives is highly preferred;
Knowledge of Citi’s financial and regulatory reporting processes, finance and risk systems including GENESIS, Full Suite, Product Processors, General Ledgers, Reporting Ledgers is preferred;
Knowledge of similar Quality Assurance / Citi Lean / Process Improvement practices (as applied to data quality operations);
Excellent critical thinking, problem-solving (error detection, root cause analysis, error correction), conceptual, analytical and decision making skills;
Good verbal and written communication, interpersonal and presentation skills must be able to present and influence across organization level and functions;
Good project / time management and organizational skills; good attention to details;
Self-starter, proactive, quick learner, customer-focused with ability to independently manage work and drive multiple deliverables concurrently in a fast paced changing environment;
High caliber team player with good judgment, flexibility and productivity with good track record in establishing partnership and team work;
Ability to multi-task, demonstrating independent leadership skills;
Possess strong team building, planning and project management skills driven by process improvement;
Strong understanding and appreciation of internal control environment, reporting, and metrics is required.
Grade : All Job Level - All Job FunctionsAll Job Level - All Job Functions - PH
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Minority / Female / Veteran / Individuals with Disabilities / Sexual Orientation / Gender Identity.
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