Mode of work – Hybrid – 3 days from office
Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). The MRM function reports directly to the Group Chief Risk and Compliance Officer (GCRCO) ensuring its independence from the model developing and owning areas of the firm.
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:
Support the management of model risk across a large complex banking group. Manage multiple senior stakeholder relationships across the HSBC matrix. Manage model risk whilst significant transformational activity is being implemented, both regionally and globally. Operate and influence within a changing and rapidly developing regulatory environment. 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.
Adopt a risk management and internal control structure, referred to as the Three Lines of Defence, to ensure it achieves its commercial aims while meeting regulatory and legal requirements and its responsibilities to stakeholders, customers and staff.
To be successful in this role you should meet the following requirements:
- Extensive knowledge of the Retail IFRS9 modelling approaches and the applicable regulations from European Banking Authority / European Central Bank or Prudential Regulation Authority or Hong Kong Monetary Authority.
- Comprehensive knowledge of statistical model and scorecard development techniques.
- Detailed knowledge of Risk models, performance metrics and risks and associated issues.
- Knowledge of 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 in model development or conducting independent model reviews.
- Experience of developing or reviewing models throughout the customer lifecycle.
- Excellent written and verbal communication skills, with proven experience managing and influencing senior stakeholders across global teams.
- Experience of presenting complex statistical concepts and results to non-technical audiences in a persuasive and compelling manner.
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