Vulnerability Management & Control Efficacy Analyst
ATR (Airbus/Leonardo)
India
Monte carlo simulations for risk modeling
Python or r for data analysis
Sql for security telemetry queries
This role quantifies security effectiveness by bridging technical vulnerability data with financial risk through data-driven modeling
Job Summary
This role quantifies security effectiveness by bridging technical vulnerability data with financial risk through data-driven modeling.
The analyst will utilize Monte Carlo simulations and Bayesian inference to calculate Annual Loss Expectancy and update risk probabilities.
Candidates must demonstrate critical thinking to prioritize vulnerabilities based on threat intelligence and business impact while streamlining remediation processes.
Matching Summary
This role quantifies security effectiveness by bridging technical vulnerability data with financial risk through data-driven modeling.
Skills & Requirements
Must-have
Monte Carlo simulations for risk modeling
Python or R for data analysis
SQL for security telemetry queries
Vulnerability management lifecycle expertise
FAIR framework proficiency
Nice-to-have
AI prompt engineering for automation
Cloud security controls in AWS Azure GCP
Linear regression for control efficacy
Executive reporting of statistical outputs
Cross-functional collaboration skills
Key Requirements
4+ years experience in Cybersecurity or Quantitative Risk
Understanding of probability distributions like Lognormal and Poisson
Deep knowledge of CVSS and EPSS prioritization frameworks