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) - Masters 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
Conditions of Employment - Clear criminal and credit record
Should you not receive a response from us within one week of your application, your application has unfortunately not been successful.
