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.