Governance Consultant

Role purpose (overall high-level summary of the role)

Cybersecurity Science and Analytics empowers Cybersecurity in protecting the bank by leveraging data and innovative capabilities to create effective and initiative-taking security measures, as well as enabling data driven business decisions. The CS&A mission is critical to the protection of HSBC customers, the HSBC brand, HSBC information, financial assets, and shareholder value, through ensuring HSBC remains a market leader in protecting our customers and assets.

We are seeking a highly motivated Model Governance Analyst to join our Advanced Projects team. In this role, you will play a key role in supporting the oversight and compliance of AI/ML models used across the Cyber security team. The Model governance analyst will form part of CSA’s Advanced Projects team, joining a global team of cybersecurity specialists, data scientists, and software engineers from diverse backgrounds to support and streamline Model governance within Cyber and for the bank. The ideal candidate will possess a good attitude, an eagerness to learn and the ability to work collaboratively in a fast-paced environment.

The position is a semi-technical role requiring a knowledge of Cyber/AI governance, data analysis, reporting and agile/project management skills with an opportunity to interact with stakeholders and solve problems within AI/Cybersecurity.

Principal Accountabilities and 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.

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.

Skills and experience

• 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.