Job
Description
Role & responsibilities Model Governance • Process Model governance tickets through from assessment to completion. • Review Model use cases and check they are in line with governance requirements. • Support the governance lifecycle of all models, including inventory management, validation tracking, and change controls. • Assist in the continuous improvement of model governance policies and procedures. • Ensure data quality and integrity through effective model governance practices. • Assist in preparing reporting, presentations, and documentation to support regulatory and internal monitoring, governance processes. • Maintain a centralised and up-to-date model inventory that tracks all models, tools, and end-user applications across Cybersecurity. • Ensure accurate and complete documentation is maintained for each model, including model development documentation, validation reports, change logs. • Identify and develop process improvements opportunities by automating where applicable. • Provide regular reporting and analysis to senior management on model risk governance activities. PUBLIC Agile Project Management: • Prepare clear, stakeholder facing communications in line with team standards of clarity, reference and effectiveness. Document requirements, analyse findings, and recommendations. Assist in preparing reporting, presentations and documentation to support regulatory and internal monitoring, governance processes. • Manage workflow timelines, track progress, and ensure timely delivery of milestones. • Provide the Model oversight chair with administrative support and help in managing task backlog. Stakeholder Collaboration • Prioritise and provide same-working day accurate responses to ad-hoc issues and requests. • Communicate and collaborate closely with colleagues from a wide range of backgrounds (cybersecurity/AI/risk/compliance teams), providing regular updates on AI activity status and addressing any issues promptly. • Build and maintain positive relationships with internal collaborators. Continuous learning and Improvement: • Contribute to continuous improvement of processes and methodologies. • Identify and develop processes improvements opportunities by automating where applicable. • Analyse extensive datasets to identify patterns and trends to uncover trends, patterns, and insights that inform decisions. Preferred candidate profile 3 5 years of experience in financial services, AI/ML risk management or model governance, Regulatory compliance or Technology • Bachelor’s degree in any Science, Technology, Engineering, or field accompanied with data, technology and/or programming experience also considered. • Applicants without a Bachelor’s degree will be considered if they have demonstrable career experience within one or more of the required areas and/or have relevant industry certifications in Data or Cybersecurity. • CSA are a supportive team who welcome candidates from diverse skills and educational backgrounds. Thus, candidates with transferrable skills gained through other technology background will also be considered. • Knowledge of scripting languages such as Python, Java, C#, or similar (Nice to have) • Familiarity and Understanding of Cyber/AI vocabulary and technologies. • Knowledge of Agile project management tools (e.g., JIRA) • Positive attitude, strong work ethic and passion for learning • Good organisation skills • Effective communication and people skills • Positive team player working as part of a large programme.
