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Senior Data Management Specialist
2 months ago
Job Summary
We are seeking a highly skilled Senior Data Management Specialist to join our team at the Royal Bank of Canada. As a key member of our organization, you will be responsible for identifying and collecting data sources, analyzing and extracting key data and information, evaluating and monitoring data quality to meet the organization's information system needs and requirements.
Key Responsibilities
- Complete and prepare key reconciliations between Finance and Risk data systems across the various data domains within the bank ensuring the integrity, accuracy and completeness of Finance and Risk data.
- Develop and maintain FRTB market risk reconciliations of all traded products to ensure that RBC risk reports and capital measurements are based on complete data, identify trading positions that may be missing from market risk capital, and provide independent oversight of the challenging issues to Enterprise Market Risk stakeholders.
- Develop and maintain International Data Hub (IDH) reconciliation and report granular institution-to-aggregate data of total positions crossed by instrument, currency, maturity for the top countries of exposure.
- Support issue tracking, agile project management, monthly timelines as EPICS and Stories on JIRA /Confluence and maintain/present on-going progress and status updates in Scrum of Scrum.
- Develop and maintain reconciliations to provide assurance to Credit Risk, Market Risk, Counterparty Credit Risk, Finance, Capital Measurement and Regulatory Reporting teams regarding the accuracy & completeness of the data in RBC's reporting and data management systems.
- Provide assurance that the specific and aggregate data values reconcile with authoritative sources and/or systems of record.
- Evaluate any unmitigated risks and control weaknesses, and recommend new or modified reconciliation controls, consistent with the stakeholder's requirements.
- Maintain and update key processes and documentation for SOX & Audit compliance. Function as a business subject matter expert and conducting information gathering sessions to assess, analyze and document reconciliation needs.
- Manage detailed business requirements: identifying, tracking, and resolving business systems issues.
- Recommend business solutions that satisfy sponsor/stakeholder needs while continually exploring and assessing options to centralize, standardize and streamline reconciliation and business processes.
- Undertake new projects and change initiatives including and analysis and requirements gathering, defining target results, and designing and documenting effective, repeatable processes.
Requirements
- Must-have 5+ years of industry knowledge and relevant experience in accounting, finance, risk management, data management and/or business analysis.
- Relevant experience with market risk data, data quality principles, data control design, self-assessment of existing processes and systems.
- Applicable data management and process improvement skills with Microsoft Excel advanced features and VBA programing, Python programming language, Structured Query Language (SQL), processing of large data sets (e.g., with Hadoop), and data visualization (e.g., with Tableau).
- Undergraduate degree in a numerical discipline, business administration, finance, or a combination.
- Good communications and large group presentation skills (verbal and written). Some experience with business and/or technical documentation and the assessment of existing processes and systems.
Preferred Qualifications
- Initiative-taker, highly motivated, having a strong drive to achieve tangible results.
- Ability to manage multiple competing priorities in times of stress.
- Ability to analyze and comprehend complex financial products, reporting, statistical analysis, and data related issues.
- Familiarity with financial service regulatory requirements, reporting, and guidelines (e.g., BCBS239, IFRS 9, CECL).
- Professional Certification (CPA, CFA, FRM and/or other).
Job Skills
Accounting, Business Systems, Critical Thinking, Data Administration, Database Structures, Data Controls, Data Management, Data Modeling, Data Movement, Data Quality, Data Systems, Detail-Oriented, Documentations, Finance, Group Problem Solving, Information Capture, Management Reporting, Process Improvements, Reconciliations, Risk Management, Standard Operating Procedure (SOP), Structured Query Language (SQL), Teamwork, Training People