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Associate Director, CIB AI Risk

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: HSBC
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer (Applied/Software), Data Security, Information Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or an exciting new direction, we offer opportunities, support and rewards that will take you further.

We’re one of the largest banking and financial services organisations in the world, with a network that covers more than 50 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Associate Director, Corporate and Institutional Banking, AI Risk

Corporate and Institutional Banking (CIB) Business Risk helps the business grow safely by identifying, assessing and managing non-financial risks across products, processes, and technology-enabled change.

Artificial Intelligence (AI) Risk Advisory sits at the intersection of innovation and risk management, supporting responsible adoption of

AI and emerging technologies across a global footprint and helping teams deliver better outcomes for customers, colleagues and markets.

As an AI Risk specialist and SME you will play a pivotal role in safeguarding HSBC’s adoption of Generative AI technologies (including Generative and Agentic AI). You’ll as a global subject matter expert for AI and emerging technology risks within CIB, providing clear, actionable risk advisory to senior stakeholders. You’ll be responsible for reviewing and challenging innovative 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.

As an HSBC employee in the UK, you’ll have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

In this role you’ll:

  • Develop, enhance, and implement risk management assessments and controls tailored to systems AI in conjunction with other colleagues across the bank
  • 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
  • Support the development and embedding of AI risk controls, including governance, documentation standards, monitoring, issue management, and control testing approaches
  • Be an advisor to CIB, Group AI and Risk areas to help improve controls and create efficiencies around AI impacting risk areas – including Model, Data, Cyber, Technology, Incident response, Regulatory compliance
  • Represent CIB Responsible AI on several cross line of business working groups looking to drive initiatives around better risk management in this space and advising senior stakeholders on next steps
  • Provide effective challenges on risk decisions, including control design, residual risk acceptance, and remediation plans
  • Track and communicate AI risk posture, key issues, and emerging risks through concise reporting and stakeholder updates

To be successful in this role you’ll meet the following requirements:

  • Significant experience in AI/Machine Learning (ML), technology/information risk or cyber risk with exposure to AI/advanced analytics or emerging technologies
  • Strong understanding of AI and ML concepts, techniques and delivery practices, with hands on exposure to Generative AI use cases
  • Demonstrated experience in multiple risk stripes - model risk, data risk, cyber risk, technology risk, and operational resilience
  • Ability to critically assess complex AI solutions and articulate risk exposures and mitigations to technical and non-technical audiences
  • Demonstrable risk management mindset: ability to identify material risks, assess control…
Position Requirements
10+ Years work experience
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