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Credit Data Analyst – Reference HMCDA


Innovative Fintech company.



Our client is looking for an experienced Credit Data Analyst who:

  • has strong data analytics capabilities,
  • pays attention to detail,
  • delivers work of a high quality,
  • can process, manipulate, and transform large volumes of data (1million+),
  • perform extensive analysis on data and produce summary results in a visual format to ultimately tell a story using data.

The successful individual needs to be a team player who works alongside others to identify and or contribute to initiatives leading to company success.



  • Measure and manage the performance across multiple credit products.
  • Evaluate and improve business decisions, substantiated by data driven analyses.
  • Mentoring colleagues.
  • Creating credit strategies.
  • Running and improving forecasting simulations.
  • Reporting back to management around the credit risk status of the business.



  • Mathematical / statistical background e.g. B.Sc. Mathematics / Statistics / Actuarial Science / Engineering degree.
  • 5+ years in data analysis / modelling (not only using Excel, but other tools including SQL / SAS)
  • Ability to work with millions of rows.

Computer Literacy

  • SAS (essential)
  • SQL (essential)
  • Advanced Excel (essential)

Excel VBA (preferential) / Python (preferential) / R (preferential)


  • Strategic thinking.
  • Data analysis.
  • Attention to detail.
  • Creative problem-solving ability.
  • Ability to transform raw data into a simplistic, easy to understand story.
  • Ability to communicate effectively with team members, stakeholders, and executives.
  • Ability and attitude to get things done.
  • Be flexible to changing business needs and priorities.
  • Self-driven: motivated and able to work on their own.
  • High energy, results driven self-starter with a ‘can do’ attitude.


International travel may be required from time to time


R1 – R1.5 million pa

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