AI Technology Risk Manager

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. 

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.

Charles Schwab is seeking a highly skilled and forward-thinking Technology Risk Manager to lead and manage AI-related security risks within our cybersecurity organization, reporting to the Director of AI Security Risk Management. This role is critical in ensuring the safe and responsible use of artificial intelligence technologies across the enterprise. The ideal candidate will have deep expertise in risk management frameworks, cybersecurity concepts and emerging AI threats, with a strong understanding of regulatory expectations in the financial industry.

Key Responsibilities:

• Identify, assess, and monitor risks associated with AI systems, including model integrity, adversarial attacks, data poisoning, and privacy concerns.
• Design and implement controls to mitigate AI-related risks, including model validation, explainability, and secure data handling.
• Ensure adherence to internal policies and external regulations (e.g., FFIEC, NIST AI RMF, EU AI Act).
• Support audits and regulatory examinations related to AI and cybersecurity risk.
• Develop key risk indicators (KRIs) and metrics to monitor AI security posture.
• Provide regular reporting to senior leadership and risk committees on AI risk trends and mitigation efforts.
• Stay current with emerging AI threats, technologies, and best practices.

What you have

Qualifications:

• Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Risk Management, or related field.
• 7+ years of experience in technology risk or cybersecurity, with at least 2 years focused on AI/ML systems.
• Strong understanding of AI/ML lifecycle, model governance, and security implications.
• Familiarity with financial industry regulations and risk frameworks (e.g., NIST, ISO 27001, COSO, FFIEC).
• Experience with cloud platforms, data governance, and secure software development practices.
• Excellent communication, analytical, and leadership skills.

Preferred Certifications:

• CRISC, CISSP, CISM, or equivalent
• AI-specific certifications (e.g., Certified AI Risk Management Professional)