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 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 Senior Assistant Vice President, Independent Model Review.

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 First line of Defence to ensure appropriate resolution of identified issues.
• Work with relevant stakeholders to support the embedding of new Global Model Risk Policies and Procedures.
• Provide coaching and guidance to new starters and junior colleagues.
• Deliver, high quality, timely validation reports that add value to the business.
• Liaise with First line of Defence 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.
• Contribute to management, regulatory, and external confidence in all models used across the group.

• Knowledge in Financial Crime and/or Regulatory Compliance Modelling and some knowledge of Anti Money Laundering regulatory requirements. Comprehensive knowledge of statistical model and scorecard development techniques.
• Knowledge of Risk models, performance metrics and risks and associated issues.
• Knowledge of internal procedures and local regulations and those of other country regulators would be an advantage.
• Experience with some statistical modelling software / programming language e.g. SAS, Python, R, Matlab, C++, VBA.
• Experience of developing and reviewing models throughout the customer lifecycle.
• Experience of presenting recommendations to Senior Management and conducting independent model reviews.
• Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard.
• Master’s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. 
• Support multiple senior stakeholder relationships across the HSBC matrix. Manage model risk whilst significant transformational activity is being implemented, both regionally and globally.
• Continually support HSBC's approach to conduct and cultivate a positive risk aware culture, which is designed to ensure we deliver fair outcomes for our customers and do not disrupt the orderly and transparent operation of financial markets.
• Maintain awareness of operational risk and minimise the likelihood of it occurring, including its identification, assessment, mitigation and control, loss identification and reporting in accordance with the HSBC Operational Risk Management.

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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