Purpose Statement

• Delivering business solutions via a collaborative approach involving mathematical formulae, business tactics, technological applications and behavioural sciences to help senior management make data driven decisions.

Experience

• 3 years’ relevant experience in statistical analysis
• Experience must include the following (within the Retail Credit Risk Management Environment):
  • Extracting and Aggregating Data from Large Relational Databases
  • Data Mining and Predictive Modelling

Qualifications (Minimum)

• Honours Degree in Data Science or Mathematics

Qualifications (Ideal or Preferred)

• Master’s Degree in Data Science or Mathematics

Knowledge

• Analytics
• Predictive Modelling and Machine Learning
• Project management methodologies
• IT implementation cycle
• Credit cycle
• Technical understanding and knowledge (different operating systems / databases /programming languages)
• General business acumen to identify the impact technical issues may have on design and delivery of solutions.
• Best practices and tools in credit risk
• Interpretation of user requirements and translation into business requirements specifications
• Retail credit environment / industry
• Confidentiality and intellectual property implications and constraints
• Interpretation of user requirements
• Translation of business requirements into business requirement specifications

Skills

• Communications Skills
• Numerical Reasoning skills
• Analytical Skills
• Reporting Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Attention to Detail
• SAS Skills
• SQL Skills
• R skills
• Python skills
• Interpersonal & Relationship management Skills
• Commercial Thinking Skills
• Leadership Skills