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RBCPosted 2 weeks ago
EXPIRED

SBL Product & Data Support Manager

On-siteToronto, Ontario, Canada

Full TimeSenior LevelSmall

Job Summary

Conduct analytics and business intelligence using SQL, Tableau, Snowflake, and Power BI to gather, clean, and interpret data for Securities Based Lending operations. Maintain and enhance risk frameworks for Key Risk Indicators, portfolio limits, and performance tracking while supporting audit, regulatory, and operational reporting. Manage data models and collaborate with product owners to validate application releases, resolve data discrepancies, and ensure compliance with enterprise data standards. Monitor third-party SLAs, document breaches, and lead governance meetings to drive continuous improvement in critical business applications.

Required Qualifications

  • 5+ years of relevant progressive systems and analytics experience
  • Experience in statistical analysis and complex data interpretation
  • 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
  • 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.)
  • 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
  • Strong understanding of technical skills in SAS, SQL, or Teradata
  • Bachelor's Degree in Mathematics, Statistics, Machine Learning or Computer Science, or related degree, or equivalent combination of education and experience

Desired Qualifications

  • Experience within the financial industry and/or relevant line of business
  • Experience querying big data environments preferred (e.g. Hadoop, Hive, Impala, Snowflake, Databricks)

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