SBL Product & Data Support Manager

Overview

Securities Based Lending is a key business for RBC Bank that provides adjudication and servicing of Securities Based Lending for U.S. Wealth Management clients. The role of Analyst, SBL Reporting and Product Support reports into the Senior Manager, SBL Product and Data Owner.

• Utilize SQL, Tableau, Snowflake, Power BI, and other platforms to gather, clean, and analyze data.
• 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 to support active portfolio management.
• Provide reporting for audits, regulatory requests, and operations as needed.

• Support Product Owner in maintaining the EODC Collateral Data model and GFT data flows, ensuring accuracy for downstream systems (e.g., Core, CITADL, Axiom).
• 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 1
  
  LOD, 2
  
  LOD, 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 to foster an analytics-centric culture.

• Continuously track third-party performance against agreed SLAs.
• Document and report SLA breaches to management within defined timelines, including root cause analysis and corrective action plans.
• Conduct regular meetings with third-party representatives to review performance, discuss improvements, and align on future expectations.
• Evaluate third-party risks (e.g., cybersecurity, operational resilience) during SLA reviews and adjust monitoring frequency based on criticality.

• Maintain and update JIRA stories for accurate project tracking.
• Organize and refresh Confluence pages to ensure accessible documentation.
• Collaborate with teams to align content with daily tasks and project goals.

• 5+ years of relevant progressive systems and analytics experience, preferably within the financial industry.
• Experience in statistical analysis and complex data interpretation with the ability to present information and insights to all layers of the organization.
• 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).
• In-depth understanding of all relevant business and SBL related operating systems (e.g., RIBS, CoMs, CCMS, Creditlink).
• Experience applying statistical techniques such as regression analysis, clustering, attribution models, decision trees, ensembles, etc.
• Experience with statistical languages (e.g., R, MATLAB, SPSS, SAS, Stata) preferred.
• Excellent task management capabilities to 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 experience in the application of experimental design and statistical analysis of results with strong technical skills in SAS, SQL, or Teradata.
• Bachelor’s Degree in Mathematics, Statistics, Machine Learning, Computer Science, or related field, or equivalent combination of education and experience.

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