Retail Credit Risk Analytics & Modelling Manager

- Have an undergraduate degree in an analytical discipline (e.g. maths, statistics), however other disciplines will be considered - Have 3+ experience of working in credit / risk modelling for retail customers especially unsecured lending in bank or non bank - Have significant experience of credit modelling using statistic tool such as R, Phyton SAS, SQL analytical tools or advanced MS Excel skills - Have strong verbal and written skills that ensure you can explain technical concepts to less technically focused colleagues and produce suitable documentation - Be organised, approachable, confident in engaging with stakeholders at all levels and a keen attention to detail - Experience of reporting in a Financial environment. - Experience and/or understanding of: data validation and verification techniques, advanced data manipulation techniques, development and production lifecycles, error handling, and automated reporting generation.