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Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead development and implementation of AI security strategies, standards, policies and control expectations
- Provide technical leadership and expert consultation on technology controls, information security programs, policies, standards and incidents
- Advise business and technology partners on AI risk and control design
- Articulate control gaps, business impact, mitigation options and escalation needs
- Lead risk and control design assessments across AI applications, models, agents, third parties, infrastructure and supporting platforms
- Review vulnerabilities and control procedures to validate security and technology controls
- Oversee AI security governance, key risk reporting, control effectiveness metrics and remediation plans
- Lead governance forums and drive accountable outcomes across stakeholders
- Monitor AI threat trends, adversarial techniques, regulatory developments and industry practices
- Translate emerging developments into improvements to monitoring, prevention, detection, response and resilience
- Develop, provide or contribute to complex reporting, analysis and assessments at the functional or enterprise level
- Build relationships across business, technology and control functions
- Deliver executive-ready advice and awareness on complex AI risk
- Act as a primary technical expert working with technology partners and service/platform owners to integrate security components into enterprise architecture
Requirements
What you’ll need- University degree or equivalent relevant professional experience
- 10+ years of relevant experience in information security, technology risk, cloud security, cyber risk, enterprise security architecture or a related discipline
- Experience applying recognized AI risk and governance frameworks, such as the NIST AI Risk Management Framework, ISO/IEC 23894, ISO/IEC 42001, OWASP or MITRE guidance
- Demonstrated experience leading risk and control assessments for complex or high-risk technology initiatives and translating findings into practical mitigation and remediation plans
- Demonstrated knowledge of AI security and risk, including secure AI development, model or agent risks, validation, monitoring, explainability, robustness and adversarial threats
- Experience integrating AI security controls into enterprise architecture, technology platforms and third-party risk processes
- Ability to communicate complex security and AI risk concepts clearly to executives, technical teams, business partners and control functions
- Commitment to continuous learning and staying current with industry trends, frameworks, and best practices in AI and financial services
- Information security, technology risk or AI governance certification or accreditation preferred
- Experience in financial services or another highly regulated industry preferred
- Experience supporting incident response or remediation for AI-related security events preferred
Benefits
Comp & perks- Variable compensation
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
- Regular career, development, and performance conversations
- Training programs
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Workplace accommodations, including accessible meeting rooms and captioning for virtual interviews