Job Description
Qualifications
- 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.
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