Global Risk is a thriving and expert risk management function supporting the company globally with all aspects of risk management. The team actively manages a varied and dynamic range of risk types, including security, fraud, information security, contingency, geopolitical, operational, credit, pension, insurance, financial crime and regulatory compliance, market and reputation risks. All parts of the Global Risk team use their skills, insight and integrity to handle established threats and those they see emerging, acting to protect and enable the company to deliver sustainable growth. In this role you’ll be lead model development and analytics projects, which covers the full model lifecycle. This includes: Lead and support colleagues responsible for checking model data quality, model development (methodology and design), checking model performance, and reporting issues to WCRA management and the steering committees. Develop and document high quality credit risk models including probability of default, exposure at default and loss given default (PD, EAD and LGD), including challenger models based on different modelling techniques (for instance, but not limited to, machine learning models). Assess models against internal model development standards and regulatory requirements before submission to internal and external approvers. Act as a member of the Regional GRA WCRA team in charge of the UK Mid-Market Risk Rating System for the bank, working with colleagues across multiple regions to design best in class modelling approaches and metrics. Engage with stakeholders across different areas and disciplines (business, global risk, data analytics, model risk management (including model validation), and both internal and external audit), either directly or through relevant forums. To be successful in this role you should meet the following requirements: Significant experience of wholesale modelling (probability of default, exposure at default and loss given default models (PD, EAD and LGD) with an understanding of how models are implemented and used. Experience preferably includes AIRB EAD and LGD models. Excellent understanding of credit risk modelling (AIRB and/or IFRS9). Demonstrated ability to lead and support Model Development projects and an understanding of the end-to-end model development as part of the model lifecycle process Understanding of Regulation Requirements, primarily UK (PRA) and EU (EBA/ECB) based regulations. Proficiency in manipulation of large data sets and excellent understanding of credit risk related data Demonstrated ability to explain technical tasks and methodology to a wider, sometimes non-technical audience. Comfortable working with stakeholders of various levels and the ability to adapt your communication style accordingly. Desirable Skills: Knowledge of Python, SAS and/or SQL and their applications would be beneficial. Knowledge of (Python) model implementation in a bank’s operating environment, including the link to policies, procedures and regulations. Proficiency in English both written and verbal. The base location is in London and is hybrid working.