Responsibilities

• Support the development, enhancement, and maintenance of pricing and actuarial models.
• Collect, clean, and prepare data from multiple sources using Python and SQL.
• Analyse large datasets using statistical modelling and machine learning techniques.
• Build, test, deploy, and maintain predictive models and pricing solutions.
• Support underwriting risk management, pricing optimisation, and risk segmentation initiatives.
• Conduct ad hoc investigations and data analysis to support business decisions.
• Develop and maintain reporting and visualisation solutions using Power BI.
• Identify opportunities to automate processes and improve modelling efficiency.
• Communicate technical findings and recommendations to both technical and non-technical stakeholders.
• Support the ongoing evolution of personalised pricing models and advanced analytical capabilities.
• Contribute...