Senior Decision Scientist
Capitec
Sandton, Gauteng, ZA
7h ago
source : Work-Force

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
  • Qualifications (Minimum)

  • 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
  • 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
  • R skills
  • Python skills
  • Interpersonal & Relationship management Skills
  • Additional Information

  • Clear criminal and credit record
  • Ability and willingness to work in an open plan environment
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