Role purpose

As a Credit Data Scientist, you’ll use data, feature engineering and experimentation to improve credit decisioning and portfolio performance across our lending products and markets. You’ll work end-to-end from data exploration through to production-aligned features, monitoring and impact measurement.

Key responsibilities

·        Analyse customer, bureau, transactional and repayment data to identify drivers of risk, loss, approval rates and customer outcomes.

·        Build and iterate credit risk features and model inputs (behavioural signals, affordability proxies, stability-tested transformations), partnering closely with senior modellers and engineering.

·        Contribute to development and improvement of predictive models using modern machine learning approaches, with a focus on robustness, stability and deployability.

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