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About the Role

Securities Based Lending (SBL) is a key business for RBC Bank. This role supports the Senior Manager, SBL Product & Data Owner in driving continuous improvement in critical business applications and ensuring robust data governance, analytics, and compliance. The position bridges business strategy, technology, and data governance to enable scalable, insightful, and compliant SBL operations.

Responsibilities

• Gather, clean, and analyze data using SQL, Tableau, Snowflake, Power BI, and other platforms.
• Maintain and recommend enhancements to frameworks for Key Risk Indicators (KRIs), KPIs, and portfolio limits.
• Enhance MIS environments with policy exception reporting, performance tracking, and vintage analysis.
• Provide reporting for audits, regulatory requests, and operations.
• Support the maintenance of the EODC Collateral Data model and GFT data flows.
• Collaborate with Product Owners to improve/test applications and ensure data availability for reporting.
• Represent the business during core application releases/hot fixes to validate data integrity, feeds, and policy adherence.
• Advise business units, risk management, and IT partners on data sourcing and usage for reporting.
• Investigate and resolve data discrepancies with upstream/downstream partners.
• Ensure adherence to enterprise data retention and destruction standards for SBL data.
• Promote data-driven decision-making across RBC.
• Continuously track third-party performance against agreed SLAs.
• Document and report SLA breaches to management, including root cause analysis and corrective action plans.
• Conduct regular meetings with third-party representatives to review performance and discuss improvements.
• Evaluate third-party risks during SLA reviews and adjust monitoring frequency.
• Maintain and update JIRA stories for accurate project tracking.
• Organize and refresh Confluence pages for accessible documentation.
• Collaborate with teams to align content with daily tasks and project goals.

Requirements

• 5+ years of relevant progressive systems and analytics experience, preferably within the financial industry and/or relevant line of business.
• Experience in statistical analysis and complex data interpretation with the ability to present information and insights to all layers of the organization in a concise, clear, and timely manner.
• Proven ability to sift through data, identify critical information, analyze, develop hypotheses, and make recommendations.
• Ability to develop strong partnerships across a multi-layered organization.
• Advanced SQL skills required.
• Experience querying big data environments preferred (e.g. Hadoop, Hive, Impala, Snowflake, Databricks).
• Demonstrate in-depth understanding of all relevant business and SBL related operating systems (i.e. RIBS, CoMs, CCMS, Creditlink).
• Experience applying statistical techniques examples include – regression analysis, clustering, attribution models, decision trees, ensembles, etc.
• Experience with statistical languages (such as R, MATLAB, SPSS, SAS, Stata, etc.) preferred.
• Excellent task management capabilities to appropriately prioritize projects based on business impact and critical timelines.
• Experience in Product, Business Intelligence, and/or Marketing data analytics and mining.
• Deep data mining and technical skills and experience translating data into consumable messages.
• Superior and proven experience in the application of experimental design and statistical analysis of results coupled with strong understanding of technical skills in SAS, SQL, or Teradata.

Skills

• SQL
• Tableau
• Snowflake
• Power BI
• Statistical Analysis
• Data Interpretation
• Big Data Management
• Budgeting
• Business Performance Management
• Critical Thinking
• Knowledge Organization
• Long Term Planning
• Performance Management (PM)
• SAS
• Teradata
• R
• MATLAB
• SPSS
• Stata

Location

• RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
• Toronto
• Canada

Work Type

• Full time

Experience Level

• 5+ years of relevant progressive systems and analytics experience

Education Level

• Bachelor’s Degree in Mathematics, Statistics, Machine Learning or Computer Science, or related degree, or equivalent combination of education and experience.

Benefits

• A comprehensive Total Rewards Program including bonuses and flexible benefits
• Competitive compensation
• Commissions
• Stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work

About the Company

• 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.
• 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.