Cyber Security Analyst

Aquent; Southlake (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Aquent supports a prominent financial services organization driving secure AI adoption and governance across its AI initiatives. The role focuses on managing AI-related security risks and ensuring responsible deployment of AI technologies within a robust cybersecurity framework.

The successful candidate will work with technology, security, risk, and compliance teams, stay ahead of AI threat trends, and help ensure regulatory alignment while advancing secure AI programs across the enterprise.

Qualifications

• 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 focused on AI/ML systems.
• Strong understanding of the AI/ML lifecycle and governance principles and their security implications.
• Familiarity with financial industry regulations and risk frameworks.

Responsibilities

• Assist in remediation, monitoring, and continuous improvement of AI usage with governance processes to mitigate AI-related risks.
• Partner with technology, security, risk, and compliance teams to champion secure AI adoption and align with security requirements.

Skills

AI/ML security

Security operations

Governance

Leadership

Education

Bachelor’s degree in Information Systems, Cybersecurity, Computer Science, AI, or related field

Tools

Cloud platforms

Secure SDLC

Job description

Aquent, a leading talent solutions partner, is excited to support a prominent financial services organization that is at the forefront of leveraging cutting-edge technologies, including Artificial Intelligence, to enhance its offerings and operational efficiency. This innovative company is dedicated to client success and is building a future where advanced technology drives secure and responsible growth. Join a team where your expertise will directly contribute to shaping the future of secure AI adoption within a dynamic and forward-thinking environment.

About the Role

Are you a highly skilled and forward-thinking cybersecurity professional passionate about the intersection of AI and security? This pivotal role offers a unique opportunity to make a significant impact by managing AI-related security risks within a robust cybersecurity organization. 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 our client’s 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.

Qualifications

• 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.