Posted:2 months ago|
Platform:
Work from Office
Full Time
Conduct independent risk assessments on technology operations and infrastructure to identify vulnerabilities and potential threats, including those associated with machine learning systems. Develop and implement risk oversight strategies to ensure the effectiveness of risk mitigation measures implemented by the first line of defense. Monitor and evaluate the effectiveness of existing risk management controls and challenge the adequacy and effectiveness of risk mitigation strategies. Collaborate with IT and operations teams to provide independent oversight and guidance on security measures integrated into the design and implementation of technology projects. Assess the security and risk implications of machine learning models and AI-driven solutions, ensuring they adhere to best practices and regulatory requirements. Stay current on industry best practices, regulatory requirements, and emerging threats in technology risk management, particularly in the context of machine learning and AI. Prepare detailed reports and presentations for senior management and risk committees, outlining risk findings, oversight activities, and progress updates. Assist in the development and maintenance of disaster recovery and business continuity plans. Conduct regular audits and assessments to ensure compliance with internal policies and external regulations. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Bachelor s degree in Information Technology, Computer Science, Risk Management, or a related field. Minimum of 3-5 years of experience in technology risk management, with a focus on operations and infrastructure. Strong understanding of Modern application architecture , IT infrastructure, including networks, servers, databases, cloud computing and machine learning technologies. Knowledge of risk management frameworks and standards such as ISO 27001, NIST, and COBIT. Experience with security assessment tools and methodologies. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Relevant certifications (e.g., CRISC, CISM, CISSP) are a plus
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