Part of a specialist modelling team focused on building and delivering industry leading Capital, Credit Decisioning and Impairment models
Use software tools such as SAS, Python and Excel to manipulate large datasets and to build, validate and analyse the performance of a range of predictive models
Build relationships with business partners across the organisation to understand requirements and develop effective modelling and analytical solutions
Contribute to the development of the Risk Science team, sharing learning and knowledge and participating in team initiatives to build positive team culture
Requirements
Minimum of 18 months experience delivering analytics in a credit risk setting
Demonstrable understanding of the credit risk model development process
Experience using credit risk models e.g. to drive decisions or within a reporting context
A strong applied knowledge of statistical modelling e.g. regression or decision trees
Proficient in a coding language (e.g. SQL, SAS, Python) to manipulate data and produce insight using predictive analytics techniques
Ability to present techniques & findings in a clear, visual manner to support senior business partners decision making, including non-technical colleagues
Experience delivering projects as an individual or as part of a wider team
Tech Stack
Python
SQL
Benefits
A generous pension contribution of up to 15%
An annual performance-related bonus
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
28 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies