about 3 hours ago
Base Salary
$156k - $230k/yr
Responsibilities
- Build automated signal ingestion pipelines for real-time data from security tools.
- Develop probabilistic risk models to quantify security exposure and breach likelihood.
- Identify and prioritize systemic choke points across the attack surface for remediation.
- Create dashboards and insights to enhance risk visibility for stakeholders.
- Support risk quantification efforts that connect security exposure to financial terms.
Requirements
- 5+ years of experience in data engineering with proficiency in Python and SQL.
- 3+ years of experience in building and deploying machine learning or probabilistic models.
- Experience in building data pipelines for real-time data processing.
- Knowledge of data modeling for risk detection and anomaly signal development.
- Ability to develop metrics that inform security and business decisions.