Information and Data Security Analyst; Global Security

Job Description Key Responsibilities

• Vulnerability Data Analysis: Collect, normalize, and analyze vulnerability scan results (e.g., from tools like Tenable, Aqua, or Xpanse) to identify trends, critical gaps, and remediation priorities.
• Risk Scoring & Prioritization: Develop risk-scoring models and dashboards to help teams focus on high-impact vulnerabilities based on threat intelligence, asset criticality, and exploit likelihood.
• Reporting & Visualization: Create automated reports and real-time dashboards (using tools like Tableau, Power BI, or Grafana) to track vulnerability lifecycle metrics (e.g., time-to-remediate, patch compliance).
• Process Optimization: Identify inefficiencies in vulnerability management workflows and propose data-driven improvements to enhance remediation speed and accuracy.
• Collaboration: Partner with IT, Dev Ops, and security teams to validate findings, investigate false positives, and ensure effective patch deployment.
• Threat Context Integration: Enrich vulnerability data with threat intelligence feeds to assess real-world exploit risks.
• Compliance Support: Assist in audits and regulatory reporting (e.g., PCI DSS, NIST) by providing data-backed evidence of vulnerability management maturity.

• Bachelor’s degree in Cybersecurity, Computer Science, Data Analytics, or a related field.
• 2+ years of experience in vulnerability management
  , cybersecurity analytics, or IT risk assessment.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Splunk).
• Hands‑on experience with vulnerability scanning tools (e.g., Tenable, Aqua, Xpanse).
• Strong scripting skills (Python, Power Shell) for data automation and analysis.
• Understanding of cybersecurity frameworks (e.g., NIST, ISO 27001) and vulnerability scoring systems (CVSS).

• Certifications:
  
  CISSP, CEH, CompTIA Security+, or GIAC (e.g., GSEC, GWAPT).
• Experience with Cloud Data Warehouses (Databricks, Snowflake).
• Knowledge of cloud security (AWS, Azure) and Dev Ops environments.
• Familiarity with statistical analysis or machine learning for risk modeling.

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• 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.

• Confidentiality
• Critical Thinking
• Data Privacy
• Decision Making
• Group Problem Solving
• Information Security Management
• IT Incident Management
• Microsoft Azure Databricks
• Snowflake (Platform)
• Structured Query Language (SQL)

Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications date above.

At 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.