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Decision Scientist

Decision Scientist

Capitec Bank Ltd.Sandton, Gauteng, South Africa
19 days ago
Job description

We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below :

  • To see what life at Capitec is all about and complete a short assessment, please click here!
  • Once you have completed the above finalize your application by clicking apply below
  • To solve business problems, create new products and services, and improve processes through using the disciplines of data science, quantitative (financial) analysis, and traditional scoring techniques; translating active business data into usable strategic information.
  • To look at ways of analysing and optimising data as it relates to a specific business area; framing data analysis in terms of the decision-making process for questions or business problems posed by a stakeholder.
  • To help build and deliver Capitec's AI strategy, enabling data-led and improved business decision making.
  • To design quantitative advanced analytics models that answer business questions and / or discover opportunities for improvement, increased revenue, or reduced costs.

Education (Minimum)

  • Honours Degree in Mathematics or Statistics
  • Education (Ideal or Preferred)

  • Masters Degree in Mathematics or Statistics
  • Experience and Knowledge

    Minimum Experience and Knowledge :

  • At least 2 years' work experience in an analytical science role
  • Statistical (predictive and classification) model development and deployment including traditional scoring (logistic regression with binning and missing value replacement - e.g., reject inference), Machine Learning (neural networks, SVM, random forests, etc.), and Quantitative Analysis (time value of money, etc.)
  • Working in Cloud environments (e.g., Azure, AWS, and large relational databases)
  • At least one Machine Learning language (e.g., Python or SAS Viya)
  • Knowledge of relational database technologies
  • Scorecard development and / or monitoring
  • Basic business analysis and requirements gathering
  • Basic general business knowledge (e.g., risk, compliance, and operations - such as NCR, POPIA, SARB, etc.)
  • Knowledge of basic functional business area (e.g., Credit) environment
  • Ideal Experience and Knowledge :

  • Financial / Banking sector
  • Business Credit environment / industry
  • Skills

  • Numerical Reasoning skills
  • Researching skills
  • #J-18808-Ljbffr

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