Lead Cyber Security Engineer - Business Analyst

Education

• Preference is given to candidates with a bachelor's degree in fields such as mathematics, physics, engineering, computer science, data science, statistics, or economics who have strong programming skills.
• We strive to be an employer of choice and encourage candidates from diverse academic backgrounds to apply.
• Relevant work experience in the following areas may substitute for academic qualifications:
  • Work Experience in Cyber Operations
  • Professional experience in cyber protection analysis
  • Analyses on Detection and Response
  • Work experience in analyst or engineering teams
  • Experience as a SOC Analyst
  • Experience in Cyber Operations (Blue Team)

Skills

• Analysis of Cyber Protection
• Analyses on Detection and Response
• Optimization, production, and security operations for Microsoft Azure or firewall policies
• Development and updating of SOCs and playbooks for campaign management processes and compliance
• Components of the Windows Stack and Effective Paths to Improvement for Business Requirements
• Monitoring and escalation to the second level to respond to (thousands of) false alarms every day
• Support for personnel monitoring and detection engineering, detection engineering, and automated validation
• Collaborate with SOC and security engineering teams to support company-wide detection engineering

Desired Experience

• More than 5 years of experience as a business analyst in the fields of finance, cybersecurity risk, or compliance.
• A deep understanding of data analytics for the protection of personal data, DLP policies, and information security compliance.
• Experience in detecting business DLP incidents, business intelligence, data protection, and data security.
• Proven expertise in analyzing risk events, escalation, and the assignment of security policies.
• In-depth analytical problem-solving and documentation skills.
• Excellent communication and stakeholder management skills.

Preferred qualifications

• Familiarity with encryption methods and secure data handling protocols.
• Knowledge of data classification, data governance frameworks, and regulatory requirements.
• Ability to design scalable data protection solutions for complex financial environments.
• Experience in designing a multi-tier enterprise environment with data for business projects.

Experience

• More than 3 years of professional experience

Expected Experience (PY-BASED)

• A solid understanding of major initiatives, including cybersecurity and cyber services programs.
• Working independently with minimal supervision while coordinating with stakeholders.
• Proficiency in policies and support for digital monitoring, dashboards, and operational solutions.
• Openness to continuous development, problem-solving, and collaborative efforts.

Salary Range

• $95,000 - $61,000

Work