Analytics Specialist
The Foschini Group
Johannesburg East
4d ago

Position Description :

Analytics Specialist : IFRS 9 Credit Modelling

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

Job Description

  • Coach and Mentor junior staff
  • Project lead and project manager for credit scoring projects
  • Liaising and work closely with stakeholders to identify business needs, scope projects, and deliver on agreed project outcomes
  • Development, implementation and monitoring of all provisioning models under IFRS 9
  • The development and maintenance of predictive models / credit scorecards to improve decision making throughout the credit life cycle of the TFG account base, from acquisition to new account decisioning to existing customer management, fraud, collections and recoveries
  • Oversee and guide junior staff in data mining of credit bureau and other external data
  • 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 modeling process to deliver and deploy robust and effective models
  • Oversee and guide junior staff and ensure quality control of 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 (internal / external)
  • 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 predictive modeling software packages (SAS / SPSS / R / Python)
  • Experience in predictive modeling or scorecard development under IAS 39 / IFRS 9
  • 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
  • Good strategic and conceptual abilities
  • Advanced problem solving, judgment and self-management skills
  • Working as an Analytical Specialist you will have strong communication 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.

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