Decision Scientist (Stellenbosch)

Stellenbosch, Western Cape, ZA

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Capitec Bank

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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:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2.  Once you have completed the above finalize your application by clicking apply below

Purpose Statement

  • 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
  • Grade 12 National Certificate / Vocational

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 (length of experience required is also conditional on qualifications obtained)
  • 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)
  • Basic general business know-how (e.g., risk, compliance, and operations - such as NCR, POPIA, SARB, etc.)
  • Knowledge of basic functional business area (e.g. Credit) environment
  • Knowledge of relational database technologies
  • Basic business analysis and requirements gathering
  • Scorecard development and/or monitoring 

Ideal Experience and Knowledge:

  • Financial / Banking sector
  • Retail Credit environment / industry
  • Developing scorecards

Skills

  • Numerical Reasoning skills
  • Researching skills
  • Analytical Skills
  • Problem solving skills
  • Decision making skills
  • Planning, organising and coordination skills
  • Attention to Detail
  • Communications Skills
  • Interpersonal & Relationship management Skills

Additional Information

  • Clear criminal and credit record

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AI strategy AWS Azure Banking Classification Data analysis Machine Learning Mathematics ML models Python RDBMS SAS Statistics

Perks/benefits: Career development

Region: Africa
Country: South Africa

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