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  • Optimise Existing Customer Management strategies to deepen customer relationships with specific focus on Proactive & Reactive Credit Limit Management and Repricing programs.
  • Pro-actively identify growth opportunities and ensure all existing customer activities meet corporate return hurdles
  • Own Test & Learn Agenda by designing tests to learn customer insights on response and performance to Marketing initiatives
  • Influence scenario planning and identify resilience gaps for capital investments
  • Present and communicate results to influence senior stakeholders Identify new enhancement opportunities in data sources to utilise for business growth
  • Explore use of Machine Learning to uncover patterns in large scale data sets to identify customer behaviour correlations with business decisions and convert in scalable growth opportunities


  • Analytics experience in credit cards, retail banking or other mass customer focused business to drive profit growth or manage risk/costs in the business
  • Expertise of using supervised or unsupervised modelling methods (such as Logistic Regression, Decision Trees, Clustering, Time Series Modelling) in business environment for customer segmentation & proposition enhancements
  • Solid hands on programming experience with following standard data analytics tools: SAS, SQL, Python, R
  • Ability to consolidate and analyse complex information in order to identify creative new ways of working and innovative solutions to problems
  • Ability to package ideas and results in a logical, understandable and compelling way for both technical and non-technical audiences
  • Bachelor's Degree in a quantitative field (Mathematics, Statistics, Physics, Engineering, Machine Learning, Computer Science etc.)
  • UK experience

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