HSBC Group

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 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 realize their ambitions.

We are currently seeking an experienced professional to join our team in the role of Senior Assistant Vice President - Model Risk Management Artificial Intelligence Validation.

Principal responsibilities

• The role holder will be the primary point of accountability for Active Risk Management, including:
• Monitor academic, industry and internal HSBC developments in Artificial tools, techniques and ways of working to support a forward-looking agenda for emerging risks and challenges that Enterprise Risk Management and the Bank may face, and ensure MRM’s approach to AI remains effective, efficient and up to date.
• 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.
• Provide written reports detailing the results of validations highlighting issues identified during the validation.
• Validate remediation activities completed by the 1LOD(1Line of Defense) 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.

• Data Scientist 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 (e.g. PyTorch, TensorFlow, scikit-learn).
• 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.
• 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.

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.”

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