Analytics Specialist: Value Added Services at TFG (The Foschini Group)

Analytical Specialist: Value Added Services 

A demanding and challenging opportunity has arisen within the Analytics Department of TFG Financial Services for a dynamic, highly motivated individual to provide analytical solutions that will improve decision making throughout the credit life cycle. 

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
• Analysing customer behavioural patterns and proposed customer relationship journeys to improve profitability and provide actionable insights for broader business strategy
• The development and deployment of predictive models and analytical strategies to improve decision making throughout the credit life cycle of the TFG account base, from acquisition and new account decision to existing customer management, fraud, collections and recoveries
• Data mining of credit bureau and other external data to provide insights and trends
• The development of variable / characteristics from external data to improve credit management decisions and accuracy of predictive models
• Ensuring appropriate statistical methodology and data mining / analytical techniques are applied to modelling process to deliver and deploy robust and effective models
• Forecasting models / time series analysis to examine portfolio trends and to provide strategic tools as input into business projections
• Providing analytical solutions to complex business problems
• Extraction and preparation of data for internal development projects as well as outsourced solutions
• Model tracking to ensure effective model life cycle management and recommendations for redevelopment
• Effective communication and presentation of analytical results to different stakeholders
• Conducting peer-on-peer quality assurance to ensure consistency in delivery
• Documentation of analytical processes and results, adhering to agreed documentation standards 

To take up this challenging position you should have: 

• A degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research (Honours / Master’s degree preferable)
• Knowledge and experience in statistical software packages (SAS/SPSS) – SAS Enterprise Miner would be advantageous.
• Experience in predictive modelling or scorecard development
• Knowledge of the credit industry and credit life cycle management
• Hands-on experience of large-scale customer database data interrogation and manipulation
• Experience with data mining and statistical techniques such as logistic regression, decision trees, cluster analysis etc.
• Excellent data interpretation skills
• A customer centric approach
• Good strategic and conceptual abilities
• Advanced problem solving, judgement and self-management skills 

Working as an Analytical specialist you will have strong communications skills, be commercially aware and be a good team player. You will also need to be numerate with a strong commitment to the improvement of the credit risk strategy.