Specialist, Data and AI Risk, VP

Principal Responsibilities Establish and Implement Risk Management Framework : Develop and maintain a comprehensive risk management framework for Data and AI initiatives across the bank, ensuring alignment with regulatory requirements and industry best practices.

Responsibilities

• This includes identifying, assessing, mitigating, and monitoring risks related to data governance, data security, data architecture, AI governance, algorithmic bias, and AI explainability.
• Contribute to the development and implementation of the bank's overall risk appetite for Data and AI.
• Develop and implement Data and AI Risk Management Policies and Standards including localization of Group Polices/Standards Operationalize Line 2 oversight for Data Governance and AI: Collaborate closely with Data Management Team, Business Units and Support Units (Bus/SUs), Technology related units to embed risk considerations into the Data and AI lifecycle.
• Perform Line 2 advisory support and oversight to Line 1 BU/SUs to address Data and AI related queries/ concerns in their initiatives and processes.
• Prepare and present regular reports to senior management on Data and AI risk issues and mitigation strategies.
• Participate in the assessment of new Data and AI initiatives, providing risk-based recommendations and challenging proposals to ensure appropriate controls are in place before deployment.
• Conduct regular risk assessments and reviews of existing Data and AI systems and processes, identifying vulnerabilities and recommending improvements to strengthen controls and reduce risk.
• Including reviews of data quality monitoring processes, assessment of data KRIs to ensure potential risks are addressed.
• Industry /Regulatory Alignment and Best Practices : Participate in industry forums and share best practices to stay abreast of emerging trends in Data and AI risk management.
• Maintain a strong understanding of emerging Data and AI risks and regulatory developments, proactively identifying and addressing potential threats.

Requirements

• Experience 10+ years of experience in risk management, with strong experience in Data and/or AI risk or governance, potentially through a specific risk discipline (e.g. third-party risk, model risk, technology risk, etc.) Proven experience in developing and implementing risk management frameworks and methodologies.
• Strong knowledge of China regulations and industry best practices related to Data and AI risk, and model risk management frameworks.
• Competencies ： Refer to relevant experiences.
• Communication & Interpersonal Skills: Possess strong presentation and interpersonal skills, with the proven ability to effectively engage and collaborate with individuals at all organizational levels.
• Demonstrate excellent written and oral communication abilities, with the ability to effectively communicate complex technical information to both technical and non-technical audiences.
• Strong analytical and problem-solving skills, with the ability to identify and assess risks effectively.
• Collaborative Spirit: Ability to effectively collaborate with business and support units in the successful rollout of various risk management processes and tools.
• A strong team player, capable of working independently professionally with both immediate team members and cross-functional workgroups.
• Education: Bachelor's degree in a relevant field (e.g., Accounting, Banking, Computer Science, Engineering, Mathematics, Statistics).

Preferred

• Experience in Applied Machine Learnings Techniques will be favored.
• Relevant certifications such as CRISC (Certification on Risk and Information Systems Control), CISM (Certified Information Security Manager), or other related certifications are preferred.

Location

PRC - Shanghai Job: Technology Schedule: Regular Employee Status: Full time