Vulnerability Management & Control Efficacy Analyst
AIRBUS DS GEO SA
Unknown, Unknown, India
Monte carlo simulations for risk modeling
Python or r proficiency for data modeling
Sql for querying security telemetry
The role focuses on quantifying security effectiveness by transitioning from qualitative assessments to data-driven risk modeling using Monte Carlo simulations
Job Summary
The role focuses on quantifying security effectiveness by transitioning from qualitative assessments to data-driven risk modeling using Monte Carlo simulations.
Candidates will utilize Python and SQL to perform multi-dimensional analysis, correlating vulnerability metrics with business downtime and financial loss.
The position requires deep expertise in the vulnerability management life cycle to prioritize remediation based on threat intelligence and incident response data.
Matching Summary
The role focuses on quantifying security effectiveness by transitioning from qualitative assessments to data-driven risk modeling using Monte Carlo simulations.
Skills & Requirements
Must-have
Monte Carlo simulations for risk modeling
Python or R proficiency for data modeling
SQL for querying security telemetry
Vulnerability management life cycle expertise
FAIR framework knowledge
Statistical distributions understanding
Nice-to-have
AI Prompt Engineering for automation
Cloud security controls experience
Executive reporting communication skills
Cross-functional collaboration orientation
Adaptive flexibility in shifting priorities
Key Requirements
4+ years in Cybersecurity or Quantitative Risk
Proficiency in probability distributions (Lognormal, Poisson, Beta)
Experience with CVSS and EPSS prioritization frameworks