Position Description :
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.
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.
Preference will be given, but not limited to, candidates from designated groups in terms of the Employment Equity Act.