is to develop and maintain long term financial models for the Group by providing accurate insights tailored Officer. Financial Modelling •Develop and maintain comprehensive financial models to support the equity for the Group. •Build scenario based financial models to evaluate the potential impact of market dynamics the use of machine learning and AI to automate models and forecasts and provide continuous process improvement assumptions, and ensure alignment of financial models with business objectives. •Bachelor's Degree in
as well). Requirements:
least 3 years' experience in high volume retail fashion, staff and stock management experience is essential
least 3 years' experience in high volume retail fashion, staff and stock management experience is essential
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Data Analysis and Modelling:
Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional
various tasks / projects simultaneously)
(Draughting/Workshop)
develop, manage and monitor relevant reporting models, to provide advanced analytical support, to critically team to price and implement Machine Learning or AI models that optimizes portfolio outcomes Automation of Experience 2-5 years' experience in Data Analytics, Modelling and Reporting Credit Underwriting would be an
develop, manage and monitor relevant reporting models, to provide advanced analytical support, to critically team to price and implement Machine Learning or AI models that optimizes portfolio outcomes Automation of Experience 2-5 years' experience in Data Analytics, Modelling and Reporting Credit Underwriting would be an