Job Description: The development and deployment of a suite of response, propensity and segmentation models to improve customer targeting capability for acquisition, cross-selling, retention and customer management initiatives across all retail brands, financial products and delivery channels. Job Responsibilities: Work with teammates on design and code reviews Conducting peer-on-peer quality assurance to ensure consistency in delivery. Model and campaign tracking to ensure effective model life cycle management and recommendations for redevelopment. Forecasting models/time series analysis to examine portfolio trends and provide strategic tools for business projections. Effective communication and presentation of analytical results to different stakeholders. Brainstorm new ideas and concepts Job Requirements: At least 3 years experience in predictive modelling or scorecard development and in solving complex business, data, and technology problems through leveraging Data and Analytics solution options. A degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research (Honours / Master’s degree preferable) Experience and knowledge of data engineering tools in AWS and/or Azure as well as analytics tools such as MYSQL, SAS, – SAS Enterprise Miner, R, Python, SPSS, MATLAB and BI tools such as QlikView, Power BI, and Tableau is required for technical domains, while experience in MDM, metadata, and data quality toolsets or platforms would be advantageous. Strong Data wrangling experience
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