Role Description and Responsibilities :
- Conduct risk assessments for Cloud and AI deployments with a focus on control requirements for cross border data movements, data use and AI use; provide guidance to business and application owners on Cloud data and AI control requirements.
- Support the efficient development, implementation, embedding, maintenance, ongoing monitoring and periodic testing of first- and second-line controls in accordance with cloud data and AI frameworks.
- Contribute to and support continuous improvement in CDO governance processes and solutions in line with the CDO automation and digitisation strategy.
- Track regulatory changes for Cloud data and AI, including assessing impact and change requirements on Cloud and AI frameworks.
- Prepare reports and analysis for cloud data and AI risk management and monitoring, internal decision making and governance committees.
- Support CDO data and AI literacy initiatives, including the design and delivery of training content.
Qualification & Core Skills requirement :
Bachelor's degree in computer science, Information Technology or a related field3-5 years of experience in a technology risk, compliance or audit role.Experience of working with Cloud platforms (AWS, Azure).Familiarity with ML / AI lifecycle management, and practical application of ML / AI concepts in controls design and implementation.Working knowledge of regulatory, risk and compliance requirements for financial services.Strong analytical and data visualization skills, experience with Python, SQL and Power BI is an advantage.Experience with cloud-native risk management / controls monitoring platforms such as ServiceNow, Collibra and Alation is an advantage.Excellent verbal, written and listening skills.(ref : hirist.tech)