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VP / Lead VP Decision Sciences

Yesterday 2025/07/03
Other Business Support Services
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Job Description

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 organisations 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 realise their ambitions.


We are currently seeking an experienced professional to join our team in the role of VP / Lead VP Decision Sciences


Business: Risk & Compliance


Principal responsibilities


  • Undertake 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 ILOD to ensure appropriate resolution of identified issues.
  • Work with relevant stakeholders to support the embedding of new Global Model Risk Policies and Procedures.
  • Provide functional leadership for a small team of Model Validators operating across geographies and the HSBC matrix.
  • Support the recruitment and retention of junior colleagues and provide coaching and guidance.
  • Lead model validation activities including planning and stakeholder management.
  • Deliver, high quality, timely validation reports that add value to the business.
  • Liaise with 1LOD and other model stakeholders as appropriate to ensure issues have been adequately resolved.
  • Communicate across technical quantitative, business and strategic levels to ensure that stakeholders understand the implications of model risks and limitations.

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