Senior Data Management Analyst, CDO - Risk Completeness Control Team

Job Description

What is the opportunity?Reporting to the Director, CDO - Risk Completeness Control Team, this role is a key contributor in ensuring the integrity, accuracy and completeness of Finance and Risk data across various finance and risk domains. The incumbent will support and perform the key risk reconciliations and present the results of these reconciliations to various stakeholders. The incumbent will develop and maintain working relationships across the organization including Group Risk Management, Personal & Commercial Banking, Capital Markets, Wealth Management, Finance, Internal/External Audit, SOX Office, and other enterprise functions. All responsibilities conducted in accordance with Code of Conduct, RBC Values and Guiding Principles ensuring adherence to Privacy principles.What will you do?

• Complete and maintain FRTB (Fundamental Review of Trading Books) 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.

• Support Enterprise Market Risk (EMR) in their capital management activities through ensuring clear processes that track the total exposure back to the end of the day contracts(EODC) and ensuring quality, integrity and transparency of Market Risk data.

• Provide assurance that the specific and aggregate data values reconcile with authoritative sources and/or systems of record and provide independent oversight of the challenging issues.

• 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 conduct information gathering sessions to assess, analyze and document reconciliation needs.

• Undertake new projects and change initiatives including participation in writing efficient Python code for data manipulation (using libraries like pandas or numpy) and automation. The candidate must possess strong SQL skills, including complex joins, subqueries, to retrieve and transform data from relational databases. Key responsibilities include designing robust data pipelines, ensuring data quality, and managing data workflows, alongside utilizing GitHub for version control, branching, and pull request reviews. The candidate must possess high-level Excel proficiency, capable of manipulating large datasets using advanced functions to perform efficient data validation and cross-referencing.

• 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.

• 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.

What do you need to succeed?

• 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.

• 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).

• Applicable data management and process improvement skills with:

  Python: Practical experience in data automation, scripting, and manipulating data frames.

  SQL: Ability to write, optimize, and debug queries involving complex joins, aggregation, and Database objects.

  Data Management: Proficiency in creating, testing, and maintaining efficient, scalable ETL/ELT data pipelines. Ability to clean, structure, and organize datasets.

  GitHub: Comfort with version control workflows, branching, merging, resolving conflicts, and documenting code within repositories.

  AI Productivity: Using AI tools (e.g., Copilot) to automate tasks.

  Microsoft Excel advanced features

• 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.

Nice-to-have

• An initiative-taker, highly motivated, having a strong drive to achieve tangible results.

• Ability to manage multiple competing priorities in times of stress.

• Professional Certification (CPA, CFA, FRM and/or other).

What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. You will work in a collaborative work environment with highly skilled data management professionals, and leaders who support your development through coaching and new opportunities.

• Opportunity to contribute directly to current and ongoing data quality and completeness initiatives that will have a lasting impact.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation.

• Develop insights into the application and use of finance and risk data used in regulatory reporting risk and capital management and compliance.

• Leaders who support your development through coaching and managing opportunities.

• Work in a dynamic, collaborative, progressive, and high-performing team.

Job SkillsCritical Thinking, Data Administration, Database Structures, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Information Capture, Standard Operating Procedure (SOP), TeamworkAdditional Job Details

Address:

BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CHIEF LEGAL & ADMIN OFFICE GRP

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-07

Application Deadline:

2026-05-29Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.