Job Description
What you will do
Research and build new vulnerability prioritization models, run simulations to test approaches, and validate enhancements that improve how we manage security risk
Develop and maintain robust data pipelines that transform vulnerability data into insights supporting risk assessments, client reporting, and regulatory requirements
Partner with leadership team to translate risk priorities into technical data solutions
Collaborate with cybersecurity, compliance, and audit stakeholders to support reporting and regulatory requirements
Identify opportunities to automate manual processes and improve operational efficiencies
Document technical solutions, data models, and development standards to support knowledge sharing and consistency

What You Need To Succeed
Must-have
Strong hands-on experience with databases and data querying (e.g., SQL or similar)
Experience working with large complex datasets and performing advanced data analysis
Proficiency in programming languages used for data analysis and automation (e.g., Python, R, or similar)
Strong understanding of data modeling, ETL processes, and database performance optimization
Experience building and maintaining data pipelines
Excellent communication skills and the ability to collaborate with cross-functional teams
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field

Nice-to-have
Experience in cybersecurity, vulnerability management, or security analytics
Familiarity with vulnerability management platforms and security data
Experience supporting audit, compliance, or regulatory reporting initiatives
Experience building analytical models or running simulations to evaluate business or security outcomes
Knowledge of software development best practices
Experience working with Data platforms i.e. Snowflake and Databricks

What's In It For You?
A comprehensive Total Rewards Program,



including competitive compensation, bonuses, and versatile benefits.
Opportunities to lead high-impact projects that shape the future of RBC’s reporting capabilities.
Access to world-class training and development programs in financial services and technology.

A collaborative, innovative, and inclusive work environment that values progressive thinking and mutual success.
Flexible work/life balance options to support your well-being and productivity.

Job Skills
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

Additional Job Details
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

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.

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📌 Senior Data Developer (Global Security) (British Columbia)
🏢 RBC
📍 British Columbia