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Job Description What is the opportunity? Reporting to the Associate Director of Securities Data Services, this position plays a key role in developing and executing upon the Client & Account Data overall strategy and goals within Capital Markets. As part of wider Client & Account Data function, this role contributes to the success of the team by leading the analysis of business requirements and the subsequent translation into functional specifications as well as writing and executing test scripts to ensure quality of deliverables. It is essential for the analyst to provide reference data expertise and build effective relationships with business units and development teams across RBC. Supporting our data governance and quality controls, as well as actively participating in business and regulatory initiatives that have a significant impact to the firm and our clients. The role is aimed at developing an operational management of data, focused on improving efficiencies, reducing costs whilst also minimizing risk. Working collaboratively with CLMG partners, COO Group, Risk, IT and Front office businesses partners throughout the bank, to understand their requirements and relevant business processes in order to deliver change and ultimately improve client service. What will you do? Key Responsibilities Manager within Client & Account Data is responsible for: - Business as Usual Captures and documents client requirements, presents solutions for approval, and provides requirements to development teams with test cases. Tests solutions in non-production environments and conducts post-production verification. Maintains project documentation to support knowledge transfer and seamless transition to support phases. Identifies root causes of data issues and implements systematic solutions. Provides subject matter expertise to internal clients. Writes queries to support analysis and testing. Works with external data vendors to understand impacts on existing processes. Evaluates new vendors or datasets. Maintains awareness of industry standards, best practices, and regulatory requirements. Manage securities reference data operations and stakeholder engagement. Relationship Management Collaborates with business partners, IT, and CLMG. Provides regular updates to senior management on metrics, timelines, and project expectations. Identifies process efficiencies and escalates issues promptly to manage stakeholder expectations. Optimizes securities reference data processes to reduce cycle time and manual effort. Integrates multiple functions to a common data source to reduce costs. Maintains data lineage documentation to support operational expansion and system enhancement prioritization. Change the Bank / Projects Work closely with management and supporting teams, providing input on all initiatives impacting reference data applications and/or expansion of reference data consumption by downstream users to meet ongoing and evolving business, risk, and regulatory requirements. Support delivery of data remediation activities, finding innovative ways to both remediate and implement stronger data quality controls around data environments Develop and oversee data quality reporting and ensure senior management is informed of data quality issues and operational risks that are identified as impactful to downstream processes or the business operations. Maintain documentation outlining data lineage pertaining to all securities related reference data in order to support the expansion of operational capabilities across Capital Markets, aiding in the prioritization of process and system enhancements. Act as a subject matter expert on projects. People Management Build and grow SDS Analyst to be SMEs and support global function. Build and develop your team into subject matter experts by demonstrating strong leadership, coaching, and decision-making in ambiguous situations. Set 2+ goals and 2+ development items per team member by Q2, tracked in Workday Talent Profile. Conduct performance reviews annually and hold career conversations quarterly, focusing on skills development. Provide timely, actionable feedback and coaching, address performance gaps through structured conversations and documented improvement plans. Delegate tasks to reduce direct involvement in BAU activities and create capacity for strategic priorities. Participate in leadership training and professional development. Set clear, ambitious goals aligned to organizational priorities. Develop talent by investing in potential and recognizing high performers. Advocate for your team and facilitate opportunities for growth and retention. Promote a strong risk culture and promptly address misconduct. Empower employees with skills to thrive long-term. What you need to succeed? Required Experience & Skills 5-7 years in Business Analysis, Data Analysis, or a related role within financial services. Experience working in a data-intensive environment with exposure to multiple source systems and complex data flows. Excellent Communication skills, Strong PC skills, particularly Microsoft office, ability to work in fast paced environment with frequent distractions and changing priorities, High standards for accuracy and efficiency. Demonstrates initiative and seeks to solve problems beyond immediate area of influence Ability to maintain strong attention to detail and meet deadlines in high-pressure situations Facilitates cross-department information flow and best practice sharing Builds and matures relationships across the organization; high level of client focus Leadership skills & ability to provide growth for members of the team Strong verbal and written communication skills 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. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation Leaders who support your development through coaching and managing opportunities Work in a dynamic, collaborative, progressive, and high-performing team Opportunities to do challenging work Flexible work/life balance options #LI-KA2 Job Skills Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents Additional Job Details Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: CAPITAL MARKETS Job Type: Regular Pay Type: Salaried Posted Date: 2026-08-25 Application Deadline: 2026-09-08 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. 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.

What you’ll do

The role involves leading the analysis of business requirements for securities data services and translating them into functional specifications while ensuring quality through testing. Additionally, the analyst will manage reference data operations, oversee data quality reporting, and provide leadership to team members to support strategic organizational goals.

Requirements

Candidates must have 5-7 years of experience in business or data analysis within the financial services sector, specifically in data-intensive environments. Strong communication skills, proficiency in Microsoft Office, and the ability to manage complex data flows and stakeholder relationships are essential.

Benefits

• Bonuses • Flexible benefits • Competitive compensation • Professional development • Coaching

Listed skills

• SQL · Preferred
• Leadership · Preferred
• Data analysis · Preferred
• Microsoft Office · Preferred
• Business analysis · Preferred
• Project management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Business analysis
• Data analysis
• Securities reference data
• Data governance
• Data quality controls
• Stakeholder management
• Project management
• Functional specifications
• Test script execution
• Data lineage
• Leadership
• Coaching
• SQL
• Microsoft Office
• Regulatory compliance
• Risk management
• Influencing Skills
• Project Documentation
• Workplace Inclusivity
• Industry Standards
• Influencing Without Authority
• Relationship Management
• People Management
• Business Operations
• Ability To Meet Deadlines
• Expectation Management
• Data Lineage
• Strategic Prioritization
• Advocacy
• Knowledge Transfer
• Research
• Data Analysis
• Business Analysis
• Management
• Business Process
• Business Requirements
• Capital Markets
• Decision Making
• Customer Service
• Communication
• Critical Thinking
• Data Administration
• Data Governance
• Extract Transform Load (ETL)
• Data Mining
• Data Modeling
• Data Quality
• Financial Services
• Front Office
• Functional Specification

Job areas

• Data & Analytics
• Finance & Accounting
• Management & Leadership
• Technology
• Data Services Analyst
• Business Analyst (General)
• Management and Organization Analysts
• Management Analysts