Decision Scientist (Stellenbosch) at Capitec Bank

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. 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 (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
Attention to Detail
Problem solving skills
Decision making skills
Planning, organising and coordination skills
Presentation Skills
Communications Skills
Interpersonal & Relationship management Skills