Avp-analyst (digital finance & artificial intelligence risk management)

• Implement and maintain risk controls for digital finance and AI processes as first line of defense (1LOD) for Digital Economy team
• Identify, assess, and mitigate operational and technology risks across AI models, platforms, and digital finance tools
• Collaborate with business units to embed risk management practices into day-to-day operations and ensure compliance with governance standards
• Maintain complete, accurate, and timely documentation of controls, RCSAs, mitigation plans, and all risk activities within GRC tools to support effective monitoring and reporting
• Monitor emerging AI and digital finance risks, escalate issues promptly, and drive timely remediation actions
• Develop and track Key Risk Indicators (KRIs) and ensure adherence to tolerance levels
• Support risk governance through committee reporting and by maintaining policies and procedures aligned with enterprise risk, regulatory, and compliance requirements
• Provide training and guidance to business teams on AI and digital finance risk management practices
• Partner with technology and vendor teams to manage risks related to platforms, models, third party dependencies, and data usage
• Drive continuous improvement of risk processes, reducing complexity while enhancing efficiency, scalability, and control effectiveness

• 9+ years of experience, including 5+ years in technology governance, risk, and control, covering self assessments, control evaluation, and regulatory compliance within financial services, with a strong focus on AI and digital finance
• Broad technology experience across digital finance, AI, data, and large scale systems, operating in highly regulated, global environments with significant complexity
• Hands on experience with GRC platforms (e.g., OpenPages or similar) and strong proficiency with the Microsoft Office suite
• Proven ability to navigate product and tool development, particularly at the intersection of technology and data, partnering closely with engineering and business teams
• Strong stakeholder management skills, building and sustaining effective relationships between business, technology, risk, and compliance stakeholders
• Demonstrated capability to evaluate and prioritize strategic initiatives, balancing competing stakeholder needs and driving alignment across AI, digital finance, technology, and data priorities
• Highly effective, independent contributor with strong analytical thinking, communication skills, adaptability, and experience leading or contributing to large, cross functional global initiatives
• Master’s or Bachelor’s in a technology discipline (Computer Science, Information Management, Computer Engineering, Cyber Security or equivalent)
• Relevant certification is desirable, e.g., CISSP, CISM, CISA. Working knowledge of Risk Management life cycles based on established frameworks: NIST, ORX, ISO 27001

Relevant certification is desirable, e.g., CISSP, CISM, CISA