Job Description

Job Details Human Capital: attracting and retaining key talent, providing learning and development initiatives, governance of performance management and reward schemes, centres of excellence to drive and embed Standard Bank values and culture.Job PurposeOversee data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand andanalyse phenomena. Model complex business problems, discovering insights and opportunities through statistical,algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data intocritical information used to make sound business decisions. Oversee predictive modelling.

Responsibilities + Skills


Liaise and collaborate with the entire Enterprise Data Office, providing support to the entiredepartment for its data science needs. Collaborate with subject matter experts to select therelevant sources of information and translates the business requirements into data


SQL, Teradata, Qlikview; Tableau, Python, C#, Java, C++, HTML8-10 years - Proven development experience in software / software engineering. Up to date with developments in IAfield. Experience in technical business intelligence; in depth understanding

Job Summary

  • Published on: Saturday, 12th September 2020
  • Designation: Data Scientist III
  • industry: Finance
  • Vacancy: 1
  • Employment Status: Full-time
  • Job Location: Johannesburg
  • Salary: 0
  • Gender:
  • Application Deadline: Saturday, 12th September 2020

About the Company

  • Company Name: Standard Bank Group.
  • Address: 9th Floor 011 636 9111/2 SBZAZAJJ Standard Bank Centre 5 Simmonds Street Johannesburg 2001 P O Box 7725
  • Website:
  • Company Profile:
  • To provide design and build decision agents and Credit process requirements for all Personal and Business products across the risk lifecycle for a particular stream (i.e. origination, account management and collections - to be customised per jobholder). This includes the process design of the end-to-end solution and working closely with appropriate Architectures (e.g., IT, Credit, Business, Data, etc.) to formulate sustainable strategic solutions.

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