Senior Data Engineer, Risk Analytics
Standard Bank of South Africa LimitedJohannesburg, Gauteng, South Africa1 day ago
Job description5-7 years experience in building databases, warehouses, reporting and data integration solutions. Experience building and optimising big data data‑pipelines, architectures and data sets. Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement 8-10 years deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory 8-10 years experience in database programming languages including SQL, PL / SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools
Business Segment : Personal & Private Banking
Location : ZA, GP, Johannesburg, 30 Baker Street
As a Risk Analytics Engineer, you are the critical bridge between advanced analytics and our production environment. You will be embedded within a cross‑functional squad, responsible for the operationalization of risk models and strategies. Your primary mission is to ensure that the analytical solutions built by our data scientists and risk analysts— from credit scorecards to real‑time fraud models— are deployed, monitored, and managed in a robust, automated, and scalable fashion. You will build and own the MLOps pipelines and solutions that bring our risk intelligence to life.
Qualifications
- Completed Matric
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related quantitative field.
Experience Required
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Senior Data Engineer • Johannesburg, Gauteng, South Africa
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