We are looking for top-notch individuals to join our dynamic team of Decision Scientists. This team is responsible for the building of our credit scorecards.
Your daily responsibilities will enable the delivery of strategic data-driven projects as well as support stakeholder decision making with impactful data insights and predictive modelling.
This opportunity provides great exposure to the full analytics life cycle as well as continuous business engagement. If this is something that excites you, then please get in touch.
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 Minimum :
6 years’ relevant experience in statistical analysis (with relevant Degree with a major in Data Science / Mathematics / Statistics / Risk Management)
4 years’ relevant experience in statistical analysis (with relevant Honours Degree with a major in Data Science / Mathematics / Statistics / Risk Management)
3 years’ relevant experience in statistical analysis (with relevant Master’s Degree with a major in Data Science / Mathematics / Statistics / Risk Management)
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
Grade 12 National Certificate / Vocational
A relevant degree in Data Analysis or Mathematics
Qualifications (Ideal or Preferred)
A relevant post graduate degree
Masters Degree in Data Analysis or Mathematics
Predictive Modelling and Machine Learning
Project management methodologies
IT implementation 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
Numerical Reasoning skills
Computer Literacy (MS Word, MS Excel, MS Outlook)
Attention to Detail
Interpersonal & Relationship management Skills
Clear criminal and credit record
Ability and willingness to work in an open plan environment