Join our team to play a pivotal role in mitigating tech risks and upholding operational excellence, driving innovation in Artificial Intelligence and Machine Learning (AI/ML) risk management. 

As a Tech Risk & Controls Lead in Cybersecurity and Technology Controls line of business, you will be responsible for identifying, and mitigating compliance and operational risks in line with the firm's standards. You will also provide subject matter expertise and technical guidance to technology-aligned process owners, ensuring that implemented controls are operating effectively and in compliance with regulatory, legal, and industry standards. By partnering with various stakeholders, including Product Owners, Business Control Managers, and Regulators, you will contribute to the reporting of a comprehensive view of AI/ML technology risk posture and its impact on the business. Your advanced knowledge of risk management principles, practices, and theories will enable you to drive innovative solutions and effectively manage a diverse team in a dynamic and evolving risk landscape.

 Job responsibilities

Ensure effective identification, quantification, communication, and management of AI/ML technology risk, focusing on root cause analysis and resolution recommendations Develop and maintain robust relationships, becoming a trusted partner with LOB technologists, assessments teams, and data officers to facilitate cross-functional collaboration and progress toward shared goals Execute reporting and governance of controls, policies, issue management, and measurements, offering senior management insights into control effectiveness and inform governance work Proactively monitor and evaluate control effectiveness, identify gaps, and recommend enhancements to strengthen risk posture and regulatory compliance

 

Required qualifications, capabilities, and skills

5+ years of experience or equivalent expertise in technology risk management, information security, or related field, emphasizing risk identification, assessment, and mitigation  Familiarity with AI/ML risk management frameworks, industry standards, and financial industry regulatory requirements Proficient knowledge and expertise in data security, GenAI/LLM & AI systems, risk assessment & reporting, control evaluation, design, and governance, with a proven record of implementing effective risk mitigation strategies Demonstrated ability to influence executive-level strategic decision-making and translating technology insights into business strategies for senior executives

 

Preferred qualifications, capabilities, and skills

Experience with security and technology risk management approaches for GenAI/LLM and Agentic AI Systems. CISM, CRISC, CISSP, or similar industry-recognized risk and risk certifications are preferred