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A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You'll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world. The Portfolio Credit Analytics & Strategy team is at the forefront of shaping Barclays’ unsecured lending strategies through rigorous data analysis and actionable insights. Working closely with senior leaders across Product, Finance, and Risk, the team drives strategic recommendations on Product, Affordability, and Securitization, with a strong focus on analytical quantification.
Job Responsibility:
Identification and extraction of relevant data from various internal and external sources
Performing sensitivity analysis and scenario planning
Monitoring and evaluation of the performance of existing models
Development and implementation of data quality control procedures
Building and validation of quantitative models to support decision-making across different business areas
Extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders
Requirements:
Really strong data skills using SAS, SQL & Python
Strong analytical and quantitative skills to evaluate data, identify patterns and trends, and generate insights
Attention to detail to ensure data accuracy, validate assumptions, and identify inconsistencies
Solid proven experience in making strategic recommendations through analytics in Unsecured lending (Cards/Loans/Overdrafts), Banking, Retail, eCommerce or pharmaceutical domains
Critical and strategic thinking to solve complex business problems, assess trade-offs, evaluate risks, and develop data-driven solutions
Nice to have:
Effective articulation and story-telling ability to communicate complex analytical findings
Strong commercial understanding of unsecured lending products, risk and affordability policy, and the key drivers of revenue, risk, and cost