AI Risk Specialist

About Us

We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

What We Offer

• Competitive salary, bonuses, and benefits
• Company-funded retirement contribution factoring in salary and variable pay, including bonuses
• Generous time-away and health benefits from day one, with flexible work options
• 2-for-1 matching gifts for charitable contributions and annual grants for organizations you support
• On-demand professional development resources to hone existing skills and learn new ones

Responsibilities

• Expertise
  • Apply advanced knowledge of AI-specific risk management principles, Responsible AI practices, and theories to drive the design, enhancement, and adoption of the firm’s AI Risk Management Framework.
  • Demonstrate strong working knowledge of Agentic/GenAI/ML fundamentals, risk and model evaluation, and the evolving AI security landscape.
  • Continuously guide the evolution and improvement of CG’s processes and controls to adapt to emerging AI risks and best practices.
  • Leverage subject matter expertise on specialized topics (e.g., model risk, data design and security, technology risk, architectural solutions, AI engineering principles, technology infrastructure) to influence risk mitigation strategies and framework enhancements.
• Execution
  • Implement and enhance the firm’s AI Risk Management Framework to ensure effective identification, risk assessment, quantification, communication, and management of AI risk.
  • Proactively identify and escalate risks/gaps, communicate findings, and recommend enhancements to strengthen risk posture and regulatory compliance.
  • Oversee, review, and challenge management and reporting of Risk and Control Issues related to AI.
  • Prepare risk reporting for governance forums and senior leadership, articulating against risk appetite and influencing strategic decision-making.
  • Review and challenge first-line policies, standards, and procedures against regulatory requirements and industry best practices.
  • Proactively identify opportunities for first- and second-line risk partnership on key risk initiatives and Technology or Security strategies.
• Cross-Functional Collaboration
  • Become the trusted risk partner for first-line leadership, product managers, technology and business process owners, and other stakeholders such as Legal and Compliance.
  • Foster collaboration with cross-functional risk teams, including Technology, Security, Operational, and Third-Party Risk teams.
  • Develop data risk insights through innovative use of AI capabilities/tools—champion a data-led approach to risk management.

Requirements

• Expert knowledge of risk management frameworks and industry standards (e.g., NIST AI RMF, ISO 42001) and their practical application in a technical environment.
• Strong technical and applied knowledge of:
  • Data design and controls
  • AI data risk governance
  • Security risk management
  • AI model and system lifecycle
  • AI failure modes and risk characteristics
  • Responsible AI practices
• Familiarity with Agentic AI workflows.
• Experience assessing risks related to model performance, bias, explainability, data quality, third-party AI, and adversarial threats.
• Demonstrable experience acting as a technical expert reference for associates and leadership.
• Technical and operational understanding of financial services regulations globally.
• A Bachelor’s degree in AI, Computer Science, Engineering, or a related technical field is highly desirable, supported by active and relevant certifications such as CISSP, CISM, CISA, or other AI-specific certifications.

Pay

• Southern California Base Salary Range: $159,354–$254,966
• New York Base Salary Range: $168,924–$270,278
• Eligibility for an individual annual performance bonus, plus Capital’s annual profitability bonus.
• Retirement plan where Capital contributes 15% of your eligible earnings.

Temporary positions in the United States are excluded from the above-mentioned compensation and benefit plans.