Job Description

Senior Manager, MRM AI Validation- Risk and Compliance

Some careers open more doors than others.

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 simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.



HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.



As an HSBC employee in the UK, you will 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.



We are currently seeking an experienced individual to join this team in the role of Senior Manager, MRM AI 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.

In this role, you will be responsible for, but not limited to:

Undertake AI related model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model. Validate remediation activities completed by the 1LOD to ensure appropriate resolution of identified issues. Work with relevant stakeholders to support the embedding of new Global Model Risk Policies and Procedures Provide model users, model owners, senior management, audit, and regulators (across 1LOD, 2LOD, 3LOD) with confidence that the models and tools developed, maintained, and used within the Group are compliant with internal and regulatory expectations and fit for the intended purpose. Help build management, regulatory, and external confidence in all models used across the group Provide support, advice and technical expertise to members of other IMR teams working on AI validations. Develop technical standards and related guidance for AI risk assessments, validation tests, and monitoring

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

A minimum of a Master's degree (or PhD preferred) in a relevant field such as Mathematics, Physics, Statistics, Quantitative Finance or a related discipline. You will be a Data Scientist with relevant experience leading the 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 (e.g. PyTorch, TensorFlow, scikit-learn). Knowledge of the risks associated with developing, deploying and using AI in large commercial organizations. 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. 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. Ability to present complex technical concepts and results to non-technical audiences in a persuasive and compelling manner. Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard. A change agent who challenges the status quo diplomatically, constructively and positively to lead relevant strategies that enable safe growth of HSBC.


The base location for this role is London - Hybrid Working

You'll achieve more when you join HSBC.

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 - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best.



If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk:


Email: hsbc.recruitment@hsbc.com


Telephone: +44 207 832 8500