AVP - AI Risk Advisory and Governance

HSBC; Bengaluru; On-site; INR 3,200,000 - 5,200,000; Full time

Job summary

HSBC seeks an AVP - AI Risk Advisory and Governance to safeguard Generative AI deployments. You will review use cases, challenge risk exposure, and ensure controls across model, data, cyber, and regulatory risk.

Collaborate with business, tech, and risk teams to govern AI lifecycles from ideation to production, develop governance artifacts, and drive awareness of AI risk topics across the bank.

Qualifications

• 4+ years in AI/ML, risk management, or technology risk roles in financial services or regulated environment.
• Strong understanding of AI and machine learning techniques, with hands-on exposure to Generative AI models (e.g., LLMs, diffusion models, GANs).
• Experience across multiple risk stripes - model risk, data risk, cyber risk, technology risk, and operational resilience.

Responsibilities

• Develop, enhance, and implement risk management assessments and controls for Generative AI and advanced ML applications.
• Drive governance lifecycles for AI use case navigation and deliverables for governance meetings.
• Collaborate with business, technology, and risk partners to embed risk considerations across the AI lifecycle from ideation to deployment and monitoring.
• Evaluate model development, validation, and monitoring practices to ensure compliance with internal and regulatory standards.
• Assess data sourcing, quality, privacy, and ethical considerations for responsible AI use.
• Identify vulnerabilities and threats related to AI systems, including adversarial attacks, model theft, and system resilience.
• Monitor evolving regulatory requirements and industry best practices for AI risk management.

Skills

AI/ML risk

Risk management

Stakeholder management

Analytical skills

Job description

Job Title: AVP - AI Risk Advisory and Governance

As an AI Risk Advisory SME, you will play a pivotal role in safeguarding HSBC’s adoption of Generative AI technologies. You’ll 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. You’ll work closely with business, technology, and risk teams to ensure that AI solutions are deployed safely, ethically, and in line with HSBC’s risk appetite and regulatory expectations. You’ll 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 lifecycle—from 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 HSBC’s 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

You’ll 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.

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