Cyber Security Analyst [AQ-24409]
Job Description
This pivotal role offers a unique opportunity to make a significant impact by managing AI-related security risks within a robust cybersecurity organization. As a Cyber Security Analyst, you will be instrumental in ensuring the safe and responsible use of artificial intelligence technologies across the enterprise, directly contributing to the integrity and innovation of vital services. Your expertise will be crucial in safeguarding advanced AI initiatives, ensuring their secure and responsible deployment and adherence to the highest standards of governance and compliance.
What You’ll Do
- Assist in the remediation, monitoring, and continuous improvement of AI usage, aligning with governance processes designed to mitigate AI-related risks.
- Partner closely with technology, security, risk, and compliance teams to champion secure AI adoption and ensure strict alignment with established security requirements and industry standards.
- Support unwavering adherence to AI security standards, policies, control requirements, and applicable regulatory expectations, including meticulous tracking of remediation efforts and supporting exception management processes.
- Provide critical support for AI security risk assessments, audits, regulatory examinations, and evidence collection activities as needed.
- Stay relentlessly current with emerging AI threats, cutting-edge technologies, and evolving best practices to proactively address future challenges.
- Bachelor’s degree in Information Systems, Cybersecurity, Computer Science, AI, or a related field.
- 5+ years of experience in Technology Operations or Security Operations, with at least 1 year specifically focused on AI/ML systems.
- A strong understanding of the AI/ML lifecycle, technology governance principles, and their inherent security implications.
- Familiarity with financial industry regulations and established risk frameworks.
- Demonstrated experience with cloud platforms, robust data governance practices, and secure software development lifecycle (SDLC) practices.
- Exceptional communication, analytical, and leadership skills, enabling effective collaboration and strategic problem-solving.
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