Build credit risk modelling, analytics and reporting for retail customer
Strategically hire, train, and manage risk teams
Partner with product team to determine how technology help to detect and reduce risk.
Previous experience building unsecured lending credit risk modelling is highly proffered.
Analyze key metrics to determine risk.
Mentoring and supporting junior members of the team will be a key part of the role, in both technical data manipulation skills and documentation delivery.
Maintain the credit model platform which is utilised by the team and expected to provide advice and guidance on ongoing efficiency gains and new credit modelling methodology.
Qualifications
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.
