AI Technology Risk Manager

@ Charles Schwab

Overview

At Charles Schwab, you are empowered to make an impact on your career. The AI Technology Risk Manager role challenges the status quo by transforming the finance industry through innovative thought and creative problem solving. This position requires working on site in the specified location.

Role Responsibilities

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

What You Have

Applicants should have a Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Risk Management, or a related field. A minimum of 7+ years in technology risk or cybersecurity, with at least 2 years focused on AI/ML systems, is required. You should have a deep understanding of the AI/ML lifecycle, model governance, and the security implications in a financial services environment. Familiarity with regulations and risk frameworks such as NIST, ISO 27001, COSO, and FFIEC is essential.

Preferred Certifications

Certifications such as CRISC, CISSP, CISM or equivalent, along with AI-specific certifications (e.g., Certified AI Risk Management Professional) are preferred.

What’s in It For You

This role offers a competitive benefits package including a 401(k) with company match, employee stock purchase plan, generous vacation policies, sabbatical leave, parental leave, tuition reimbursement, and health, dental, and vision insurance. You will work in an environment that values continuous learning, collaboration, and flexibility.

Key skills/competency

• Risk Management
• Cybersecurity
• AI/ML systems
• Regulatory Compliance
• Model Validation
• Data Governance
• Security Controls
• Audit Support
• Leadership
• Emerging Threats