Senior Manager, AI Model Validation

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 Senior Manager, AI Model Validation. Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). MRM are the second line of defence (2LoD) for Model Risk and the CMRO is the global Model Risk Steward for the group and is also accountable for the global operation of the MRM function. MRM teams are based in each region, to ensure local subject matter expertise and to guide, review, and challenge. MRM activity is managed on a global basis as many models are used in multiple locations. This enables MRM to operate consistently and efficiently globally, and to take account of additional local regulatory requirements. The Senior Manager, AI Model Validation will join the AI MRM team with a primary role of validating Gen AI and Agentic AI models. The role will include developing tools for efficient validation, working closely with risk and business counterparts, and monitoring academic, industry and internal HSBC developments in AI tools and techniques. 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: Provide support, advice and technical expertise to members of other Independent Model Risk teams working on AI validations. Develop technical standards and related guidance for AI risk assessments, validation tests, and monitoring. Work with the Infrastructure Team to provide Model Risk Management requirements to Global Businesses and Functions requirements to support the efficient integration of Model Risk Management activities in AI use cases, platforms and tools. Represent Enterprise Risk Management and Model Risk Management to your key internal stakeholders. Communicate across technical and business levels to ensure that stakeholders understand how their delivery is aligned with the Bank and Enterprise Risk Managements goals. Drive positive Risk culture behaviours including, supporting, guiding and mentoring all colleagues working as part of global virtual teams Ensure delivery of relevant services set out under the service catalogue ensuring consistent implementation across entities, countries and markets, as appropriate. Support communication with internal (first line, senior management, audit) stakeholders on risk identification, governance and management To be successful in this role you should meet the following requirements: Data Scientist with relevant experience in building or validating AI products. Deep understanding of AI models, algorithms and the associated mathematics. Experience with Python, including the main libraries used for data science and AI. Proficient in developing LLM-enabled applications using Python, including frameworks such as langchain. Knowledge of the risks associated with developing, deploying and using AI in large commercial organisations. Knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank. Knowledge of AI research, methodologies and techniques, particularly General Purpose AI, Deep Neural Networks, Agentic AI frameworks and statistical analysis (Variable Reduction, Feature engineering) with Supervised and Unsupervised machine learning algorithms. Expertise with data cleaning, feature engineering, and data normalization techniques. Active interest in the latest tools and ways of working linked to AI, with the ability to apply this knowledge in a flexible way adapting to varied circumstances across HSBC. Ability to promote a strong risk control culture and continually improve risk awareness. Ability to develop networks with key stakeholders. Providing advice and challenge, delivering risk management policies and managing risks and controls. Opening up a world of opportunity. Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.