Senior Assistant Vice President - Model Risk Management Artificial Intelligence Validation
HSBC
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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 ProceduresProvide 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.
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