CyberSecurity Vulnerability Management Data Analyst Lead - Vice President

State Street seeks to recruit an experienced data analyst lead within its Global Cybersecurity Vulnerability Management team. This role involves working with domain experts to develop novel analytics for cybersecurity risk management solutions. Analysts apply skill and experience to datasets using SQL and scripting languages to surface meaningful insights and partner with key stakeholders.

What you will be responsible for

• Use your understanding of Security Data Science and Graph Theory to analyse cybersecurity data.
• Work hand in hand with product owners and domain experts from across the Global Cybersecurity organization to develop novel analytics for security and risk management solutions.
• Analyse datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to partner teams and other key stakeholders
• Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand behaviors and interactions
• Build, manage, deploy, and monitor end-to-end analytical solutions to
• Build and share data visualizations and self-serve dashboards for your product team, and support planning, facilitation, and execution of regular communication and coordination across cross-functional teams
• Continually reviewing completeness and accuracy of relevant data platforms
• Maintaining situational awareness, collaborate, influence and lead initiatives across the enterprise
• Work closely with business units to understand people, process, and technology in order to build effective vulnerability management strategies

Must have skills

•           Experience with scripting and data analysis programming languages, such as Python or R and advanced proficiency with SQL and data visualization tools

•           Direct experience in the cybersecurity industry building analytics, models and detections (minimum 1-2 years).

•           Direct relevant experience building models and analytics for cybersecurity, insurance, and other data intensive risk management related domains, structuring operational and log data in cloud native analytics environments.

•           Experience with cohort and funnel analyses, population clustering and segmentation techniques, and a deep understanding statistical concepts related to experimental design, selection bias, probability distributions, and Bayesian inference

Good to have skills

•           Advanced presentation skills, both orally and written

• Ability to work independently and solve challenging problems while collaboration with stakeholders

• Experience answering unstructured questions, driving data-driven solutions, and managing projects and tasks to a conclusion

• Strong organizational, task switching, and prioritizing skills

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