Developing, deploying and maintaining models which can predict, forecast and simulate scenarios with different variables. Supporting with regulatory programmes, and ensuring highest levels of data accuracy and integrity, working to data usage and protection guidelines. Supporting growth in the business through the delivery of Wealth & Personal Banking initiatives, delivering analytics to enable the design and roll-out of new lending products, enhancing existing product features and managing the exposure of our existing customers. Previous experience in a Risk Analytics or an Analytics based role is essential. Experience of working within secured or unsecured products is desirable but not essential. An understanding of consumer lending products, profitability and credit risk and proven ability to drive rapid insights from available data to drive business forward is critical. Applicants must have a track record of analytical capabilities using relevant software packages (i.e. SAS/SQL/VBA/Python) to analyse large amounts of data, draw conclusions and drive actions. Extensive experience of data technologies, including relational, dimensional, NoSQL data platforms plus metadata and data transformation tools, and experience of traditional warehouse technologies (Teradata) and analytics platforms (SAS) Experience of successful project management, working across a range of teams to deliver with a knowledge of FCA regulations and experience of their application in a consumer lending environment.