- Work Mode: Remote
- Location: Montreal
- Design and implement scalable data models that integrate vulnerability data across multiple systems.
- Standardize and normalize disparate vulnerability data sources into a consistent, queryable structure.
- Develop quantitative methods to measure vulnerability exposure and risk posture.
- Design and implement weekly reporting outputs that provide trendlines and exposure metrics.
- Perform deep-dive analyses to identify root causes of vulnerability accumulation and systemic control gaps.
- Partner with vulnerability management, risk, and engineering teams to define reporting requirements and KPIs.
- 7 years of experience in data science, analytics, or quantitative modeling with a focus on security, risk, or vulnerability management domains.
- Strong proficiency in SQL and relational data modeling, and Python for data analytics and transformation.
- Experience working with large-scale, complex datasets.
- Strong understanding of data modeling concepts applied to security data.
- Proven ability to translate complex data into clear, actionable insights.
- Experience in cybersecurity or vulnerability management domains.
- Familiarity with vulnerability constructs such as CVEs and severity/priority frameworks.
- Exposure to data governance and data quality controls.
- Hands-on experience building dashboards and visualization solutions using tools like Power BI or Tableau.
Job ID: 523237738
Originally Posted on: 6/1/2026
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