Vulnerability Management & Control Efficacy Analyst
AIRBUS DS GEO SA
Bangalore, India
Quantitative risk modeling
Vulnerability life cycle analysis
Control efficacy measurement
Quantify security effectiveness by moving from qualitative assessments to data-driven risk modeling, bridging the gap between technical vulnerability data and financial risk
Job Summary
Quantify security effectiveness by moving from qualitative assessments to data-driven risk modeling, bridging the gap between technical vulnerability data and financial risk.
Perform multi-dimensional analysis to determine prioritization scores based on Threat Intelligence, vulnerability intelligence, and aggregated incident response data, and streamline processes to reduce Mean Time to Remediate.
Apply AI Prompt Engineering to automate KRI/KPI generation and interpret complex statistical outputs for executive reporting, while supporting the Security Governance Department with remediation follow-up.
Matching Summary
Quantify security effectiveness by moving from qualitative assessments to data-driven risk modeling, bridging the gap between technical vulnerability data and financial risk.
Skills & Requirements
Must-have
Quantitative Risk Modeling
Vulnerability Life Cycle Analysis
Control Efficacy Measurement
Python or R for data modeling
SQL for querying telemetry
Threat Intelligence analysis
Nice-to-have
Adaptive Flexibility
Intellectual Humility
Accountability
Critical Thinking
Resiliency
Effective Communication
Collaborative Orientation
Solution-Focused Initiative
Emotional Intelligence
Continuous Improvement
Key Requirements
4+ years in Cybersecurity, Vulnerability Management, or Quantitative Risk
Understanding of probability distributions and statistical significance
Proficiency in Python or R and SQL
Deep understanding of vulnerability management life cycle and prioritization frameworks
Proficiency with FAIR framework
Experience managing security controls in AWS, Azure, or GCP