As a Senior Data Scientist within the Credit Risk team, you will design, develop, and implement models that drive lending decisions and portfolio risk management. You will work across the full modelling lifecycle — from problem definition and data exploration to model development, validation, and deployment within a modern cloud environment. The role combines deep credit risk expertise with hands-on data science and engineering, with a focus on building robust, production-ready models.

You will play a key role in shaping how we assess risk, forecast portfolio performance, and optimise credit strategies across our global lending platform.

What are some of the responsibilities of this role?

• Develop and maintain credit risk models, including PD, LGD, and EAD
• Build and enhance cash flow and portfolio forecasting models
• Design and implement predictive models using Python and machine learning techniques
• Work with large, complex datasets to perform feature engineering and model optimisation
• Collaborate with data and engineering teams to deploy models in AWS (e.g., SageMaker)
• Support model monitoring, validation, and governance processes
• Analyse portfolio trends and provide insights to improve credit strategy and underwriting decisions
• Contribute to IFRS 9-style forecasting and risk reporting frameworks
• Communicate technical concepts and model outputs clearly to stakeholders

What are some of the responsibilities of this role?

• Explore and understand internal and external data to gain valuable insights and to enrich our analysis and machine learning pipelines
• Develop and maintain credit risk models, including PD, LGD, and EAD
• Build and enhance cash flow and portfolio forecasting models
• Design and implement predictive models using Python and machine learning techniques
• Work with large, complex datasets to perform feature engineering and model optimisation
• Collaborate with data and engineering teams to deploy models in AWS (e.g., SageMaker)
• Support model monitoring, validation, and governance processes
• Analyse portfolio trends and provide insights to improve credit strategy and underwriting decisions
• Contribute to IFRS 9-style forecasting and risk reporting frameworks
• Communicate technical concepts and model outputs clearly to stakeholders

• Are you interested in this position?

   

  Apply by clicking on the “Apply Now” button below!

   

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