Model Risk Specialist

The group’s corporate centre includes many of the critical functions required by a large and complex financial services business. It represents custodianship and has ultimate accountability to external stakeholders such as shareholders and regulators. These functions may sound boring at first glance – treasury, risk, compliance, governance, audit, finance and tax – but they fundamentally represent the group’s licence to operate. An impressive “below the radar” brains trust is housed in the corporate centre and for membership you will need deep specialist and technical skills, and a talent for excellent stakeholder management at the most senior levels. Building a career in the corporate centre gives you a unique perspective on the entire group. Nowhere else can you own or be part of a mandate that operates across the entire portfolio. This allows for both big-picture thinking and operational learning – a rare combination of opportunities!Role Purpose: Exciting new opportunity in Enterprise Risk Management to join the Model Risk team. Have a good understanding of Credit Risk models and be able to perform tasks that include model independent validation, reporting, presenting at governance committees, shaping of frameworks, researching methodologies, etc, that contribute to the management of model risk. Are you someone who can do: Model independent validation and model risk management Review and/or reperform model building process. Document and communicate independent validation findings, corrective actions and advise on model appropriateness Apply risk proportionate approach to different model validations. Assess the adequacy and/or best practice in strategy, frameworks, policies and business process alignment to modelling practice. Present to designated validations committee independent validation outcomes and corrective actions. Communicate effectively and maintain a good relationship with key stakeholders. Optimize processes through continuous updates to frameworks and governance design. Education/Qualifications Bachelor's degree (Honours preferrable) in one of the following disciplines: Statistics, Mathematics, Quantitative Risk Management, Engineering, Actuarial science, Data science or similar. Skills and Competencies 2-5 years of financial modelling, risk modelling and/or model validation experience within a banking context. Proficiency in programming languages that can include SAS, SQL, Excel, Python and R. Experience with developing the following model types/usage advantageous: Scorecard models (Application and Behavioural) Credit Risk Regulatory Capital and Provisioning models