Get in Touch
 Duration 7 hours

Course Outline

The SA Telecom Credit Landscape

  • Map the end-to-end credit lifecycle, from customer acquisition and vetting through account management, collections and portfolio review.
  • Explain how South African economic conditions and customer circumstances can influence affordability, payment behaviour and credit risk.
  • Compare the risk considerations of prepaid, postpaid and handset-financing customers.
  • Connect credit decisions to Customer Lifetime Value (CLV), bad debt and sustainable commercial growth.

Vetting Operations & Scorecards

  • Apply structured, risk-based vetting techniques within NCA-compliant frameworks.
  • Interpret application, bureau and relevant internal account information to build a more complete view of customer risk.
  • Use scorecards and policy rules to support consistent decisions, referrals and escalations.
  • Identify information gaps, inconsistencies and potential risk indicators that call for further review.

Practical Lab: Excel Credit Modeling

  • Use Excel to organise and analyse credit data for scoring and portfolio assessment.
  • Apply a credit scoring model to compare risk profiles and support decision recommendations.
  • Run simple predictive scenarios to explore how changes in selected inputs may affect risk outcomes.
  • Use aging analysis to examine overdue balances, identify emerging payment issues and monitor portfolio performance.
  • Document model assumptions and recognise where results require human review. 

Risk Mitigation & Collections

  • Identify practical ways to manage exposure throughout the credit lifecycle, from appropriate limits to early intervention.
  • Use delinquency and aging information to help prioritise accounts for collection activity.
  • Match collection actions to account circumstances and risk indicators while supporting fair, consistent customer treatment.
  • Monitor collection and mitigation outcomes in relation to recoveries, bad debt and customer retention.

 Strategic Decisioning & Simulation

  • Balance credit risk, commercial growth and CLV when making or recommending decisions.
  • Apply risk-based decisioning to hypothetical customer and portfolio scenarios.
  • Assess the potential trade-offs of alternative decisions, including their possible effects on acquisition, exposure and bad debt.
  • Explain recommendations using clear evidence, consistent criteria and relevant NCA requirements.
  • Identify measures to monitor after a decision and use performance insights to inform future action.

Testimonials (4)

Related Categories