
at HSBC
OtherPosted 11 days ago
No clicks
**AVP - AI Risk Advisory and Governance** As an **AI Risk Advisory SME**, you'll safeguard HSBC's Generative AI adoption. Key responsibilities include: - Developing risk management assessments and controls for AI and ML applications. - Driving governance lifecycle support for AI use cases, from ideation to production. - Engaging stakeholders – business, tech, and risk teams – to embed risk considerations throughout the AI lifecycle. - Assessing and mitigating risks across model, data, cyber, and technology domains. Requirements for this **senior-level role** include: - Proven experience (4+ years) in AI/ML, risk management, or tech risk roles within a regulated environment. - Strong understanding of Generative AI models (LLMs, diffusion models, GANs) and their risks. - Analytical skills to critically assess complex AI solutions and articulate risks. - Excellent written and verbal communication skills for reporting to senior management.
- Compensation
- Not specified
- City
- Not specified
- Country
- Not specified
Currency: Not specified
Full Job Description
Job Title: AVP - AI Risk Advisory and Governance
As an AI Risk Advisory SME, you will play a pivotal role in safeguarding HSBCs adoption of Generative AI technologies. Youll be responsible for reviewing and challenging Generative AI use cases from a holistic risk perspective, ensuring robust oversight across model risk, data risk, cyber risk, technology risk, and other emerging risk types. Youll work closely with business, technology, and risk teams to ensure that AI solutions are deployed safely, ethically, and in line with HSBCs risk appetite and regulatory expectations. Youll also help business navigate the governance required for use cases to be brought from ideation to production, ensuring that the right procedures and processes are being followed and helping navigate the multiple risk areas.
In this role, you will:
- Risk Frameworks: Help Develop, enhance, and implement risk management assessments and controls tailored to Generative AI and advanced machine learning applications in conjunction with other colleagues across the bank.
- Governance: Help drive the governance lifecycles supporting with use case navigation across the various requirements and activities required for governance, also help create decks and deliverables, as well as coordinate inputs for the various governance meetings related to AI
- Stakeholder Engagement: Collaborate with business, technology, and risk partners to ensure risk considerations are embedded throughout the AI lifecyclefrom ideation and development to deployment and monitoring.
- Help drive advisory activities to the following areas to help build, improve and create further efficiencies in some of the following areas:
- Model Risk Oversight: Evaluate model development, validation, and monitoring practices to ensure compliance with internal and regulatory standards.
- Data Risk Management: Assess data sourcing, quality, privacy, and ethical considerations, ensuring responsible data use in AI solutions.
- Cyber & Technology Risk: Identify vulnerabilities and threats related to AI systems, including adversarial attacks, model theft, and system resilience.
- Regulatory Compliance: Monitor evolving regulatory requirements and industry best practices, ensuring HSBCs AI risk management remains best-in-class.
- Training & Awareness: Support the upskilling of colleagues on AI risk topics, promoting a culture of responsible innovation.
To be successful you will:
- Experience: Experience (typically 4+ years) in AI/ML, risk management, or technology risk roles within financial services or a regulated environment.
- Technical Proficiency: Strong understanding of AI and machine learning techniques, with hands-on exposure to Generative AI models (e.g., LLMs, diffusion models, GANs).
- Risk Expertise: Demonstrated experience in multiple risk stripes - model risk, data risk, cyber risk, technology risk, and operational resilience.
- Analytical Skills: Ability to critically assess complex AI solutions and articulate risk exposures and mitigations to technical and non-technical audiences.
- Stakeholder Management: Proven ability to influence and collaborate with cross-functional teams, including business, technology, and risk partners.
- Communication: Excellent written and verbal communication skills, with the ability to prepare clear, concise reports and presentations for senior management.
Desirable:
- Professional certifications in AI/ML, technology risk, or cyber security.
- Regulatory Awareness: Familiarity with relevant regulatory frameworks (e.g., PRA, FCA, EBA, GDPR, AI Act) and industry standards for AI risk management.
- Experience with Technology architecture or creating technology solutions
Hsbc.com/careers
Youll achieve more at HSBC
HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.
Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
***Issued By HSBC Electronic Data Processing (India) Private LTD***




