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RBC is seeking a data engineering professional to advance vulnerability risk analytics in a security-focused environment. You will build models, run simulations, and develop robust data pipelines transforming vulnerability data into actionable risk insights.
The role requires strong SQL, data analysis, Python or R, and experience with ETL and data pipelines. Collaboration with cybersecurity, compliance, and audit teams is essential for regulatory reporting and risk management.
Big Data, Crisis Management, Critical Thinking, Cyber Security Management, Data Analysis, Data Analytics, Database Development, Data Development, Data Engineering, Data Pipelines, Datasets, Decision Making, Extract Transform Load (ETL), Firewall Management, Information Capture, Infrastructure Penetration Testing, Network Security Management, Risk Management, Vulnerability Assessments
Address: 16 YORK ST:TORONTO
City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: TECHNOLOGY AND OPERATIONS
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-07-16
Application Deadline: 2026-08-21
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.