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Data Analyst Data Mining

Decision Science Lead

Job in Cape Town, 7100, South Africa
Listing for: Hire Resolve
Full Time position
Listed on 2025-12-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining
Job Description & How to Apply Below

Overview

A leading Commercial Bank is looking for a Decision Science lead to join their team at their offices in Stellenbosch .

Key Responsibilities:

  • Making certain that the outputs under the purview of responsibility are in line with the goals, schemes, procedures, and standards of credit decision science (Granting Model/Collections, Recoveries, Account Management)
  • To supervise a group of experts from the (Collections, Recoveries and Account Management / Granting Model) function who carry out analysis to convert live business data into actionable strategic information to inform the company on any crucial and quantifiable credit and risk indicators.
  • Conduct analysis to convert current business data into actionable strategic knowledge that will advise the company about any important and quantifiable credit and risk indicators.

    • Minimum Requirements :

  • Honours degree in Mathematics or Data Science
  • Master’s degree in mathematics or Data Science (Advantageous)
  • Minimum 4 years in statistical analysis
  • Experience with Extracting and Aggregating data within the retail Credit Risk Management Environment
  • Experience with Data Mining and Predictive Modelling

    • Skills required :

  • Communications Skills
  • Numerical Reasoning skills
  • Analytical Skills
  • Reporting Skills
  • Computer Literacy (MS Word, MS Excel, MS Outlook)
  • Attention to Detail
  • Programming skill (SAS, SQL, R, Python)
  • Commercial Thinking Skills
  • Interpersonal & Relationship management Skills
  • Leadership Skills
  • Knowledge in Analytics
  • Predictive Modelling and Machine Learning
  • Project management methodologies
  • General business acumen to identify the impact technical issues may have on design and delivery of solutions.
  • Best practices and tools in credit risk
  • Retail credit environment / industry
  • Confidentiality and intellectual property implications and constraints
  • Interpretation of user requirements

    • You are welcome to connect with: , Shannon Watson or on Linked In or them on and use any of the following extensions;
    Merina 504, Shannon or Lindy on 514

    Please note that correspondence will only be conducted with shortlisted candidates for this position.
    Please consider your application unsuccessful if you do not hear from us within 3 days.

    Full Time

    Company Social

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