Job Description
Your role will be to oversee AI and new commercial model creation, focusing on robustness and validation, ensuring the right data, modelling technique and standardization. You'll assess proposed and implemented models, bringing independent thought and challenge to model design, development and use. This involves evaluating macro-economic factors and consumer behaviour impact on bank models, providing real-world context to model risk. Your main goal is to ensure models are relevant and can forecast the future. You'll lead initial and periodic validation, develop standards and interact with model owners and developers, encouraging idea exchange and critical decision challenge. You need high quantitative ability, undergraduate degree level in a numerically oriented subject, and experience in general programming. You'll work with model developers to ensure a structure is in place to validate models. AI is another model, requiring the right data, modelling technique and standardization. You'll assess the effectiveness of proposed and implemented models, bringing independent thought and challenge to model design, development and use. You'll be a senior advisor to the Head of Model Risk, adding real-world context to model risk. Your day-to-day involves leading validation, developing standards, and interacting with model owners and developers. You'll be a main contact point for the Central Bank & Executive Board. This is an opportunity to shape the bank's AI journey, and you don't need to come from banking. If you understand a model and what it's trying to achieve, you can crossover from any area. Quantitative skills are needed, but as important is being able to influence stakeholders and problem solve collaboratively.