Standard Bank Group

Senior Manager, Data Science

Sep 01, 2023

Johannesburg, South Africa

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

This role is to lead the Data Monetization capability for the Card business within PPB. This role will lead the application of data analytics/science to drive Card Spend through collaboration of customer engagement and personalization capabilities and techniques. This includes customer behavioural segmentation analysis and behavioural predictive and propensity modelling.

This role will also lead initiatives to identify business levers through data analysis to maximize customer value, and execution to minimize customer attrition, and in turn derives quantifiable value for the business.

This role is expected to engage stakeholders at the senior management and Executive level in shaping and delivering customer value extraction; as well as the role is expected to lead a team of data analysts at the various skills level to enable data monetization for the Card business, and continue to champion best practice in data analytics/data science.


Minimum Qualifications
Type of Qualification: Post Graduate Degree
Field of Study: Information Technology
Type of Qualification: Post Graduate Diploma
Field of Study: Information Studies

Experience Required
Data Monetisation
Data & Analytics
8-10 years
Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualisation tools, such as Power BI, Tableau, etc.

8-10 years
Proven development experience in software / software engineering. Up to date with developments in IA field. Experience in technical business intelligence; in depth understanding of the banks data processes, systems and products. Knowledge of IT infrastructure and data principles forming the basis for data quality management. Project management experience. Exposure to data governance and regulatory matters. Experience in building models (credit scoring, propensity models, churn, etc

Additional Information

Behavioral Competencies:

  • Adopting Practical Approaches
  • Articulating Information
  • Challenging Ideas
  • Checking Details
  • Examining Information
  • Exploring Possibilities
  • Interacting with People
  • Interpreting Data
  • Meeting Timescales
  • Producing Output
  • Providing Insights
  • Team Working

Technical Competencies:

  • Data Analysis
  • Data Integrity
  • Database Administration
  • Knowledge Classification
  • Research & Information Gathering

Join 27186+ Machine Learning Engineers, receiving daily job alerts.