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Maintain client and market reference data for financial instruments and their valuations across
across various investment classes. Ensure data quality and integrity for accurate regulatory reporting
and client reporting. Troubleshoot and resolve data issues, particularly related to pricing impacts
market reference data, classifications, and valuations.
- Maintain client reference data and ensure accurate
improve data processes.
- Lead and coordinate a team of data analysts.
- Ensure data accuracy
to build sophisticated applications to visualise data using Python.
Why Join
in all Remittance & BD related data, reporting and analytical tasks.
to:
Must have a matric certificate and a relevant qualification
Must be fluent in English and an additional language
Must be computer literate
aspects of business intelligence, reporting, and data models, to ensure the divisional objectives are organisation. Oversee the design and implementation of data models to support BI platforms. Design, develop processes to support data integration. Data quality and governance - Establish data quality standards and and ensure data governance practices are adhered to across the organisation. Create and manage forms forms for data collection and business processes. Strategic decision support - To offer data-driven recommendations
telecommunications sector is looking for a CVM Data & Analytics Resource. This is a contract for 6 to 12 12 months. Support in all CVM related data and analytical tasks. The role holder will, under the management the Decision & Analytics team (with a dotted line to the SM: CVM Basic) use data to undertake consumer consumer segmentation, Analyze retention data and perform advanced analysis Develop CVM- specific KPIs for CVM performance data Experience on the following tools: Data Base Management, Big Data (Hadoop, Hive,
telecommunications sector is looking for a Remittance Risk Data Analytics. This is a contract for 6 to 12 months. Support in all Remittance & BD related data, reporting and analytical tasks. This role holder will under Fintech team, through the use of data, develop data pipelines for additional data sources to mitigate risks Grey Routes, prepare data and views to be easily consumed for reporting and analytical purposes. Develop Experience on the following tools: Data Base Management, Big Data (Hadoop, Hive, Presto/Trino) SQL Python
optimisation and implementation of analytical systems that help in data-driven decision-making.