Join Nedbank as a Senior Quantitative Analyst and play a key role in shaping data-driven insights. You'll design and maintain data pipelines while collaborating with a team of experienced analysts in a dynamic environment focused on continuous improvement.
Data-driven and high-performing
Job Requisition Details Requisition ID: 146145 Location: Johannesburg, Gauteng Closing Date: 09 June 2026 Talent Acquisition: Bongiwe Mchunu Job Family Investment Banking Career Stream Business and Commercial Banking \- Quantitative Leadership Pipeline Manage Self: Professional FAIS Affected Job Purpose This role is responsible for designing, building, and maintaining reliable data pipelines and curated datasets that enable reporting, analytics, and downstream consumption. This role focuses on **Microsoft SQL Server**, **SSIS**, and **SAS** to deliver robust ETL/ELT processes, data quality controls, and performant data structures. Exposure to **Azure Databricks** and/or **Microsoft Fabric** is advantageous for modern cloud\-scale processing and lakehouse patterns. Why Join Our Team Join a high\-performing, data\-driven environment where your expertise will directly shape strategic insights and decision\-making. You’ll work with modern data engineering tools and frameworks, contribute to scalable solutions, and collaborate with experienced analysts and business stakeholders. This role offers exposure to advanced analytics, cloud technologies, and continuous improvement practices—providing a strong platform for professional growth and impact within a leading financial services organisation. Job Responsibilities **Data Engineering \& Pipeline Development** * Design, develop, and support ETL/ELT pipelines using SSIS, SQL stored procedures, and SAS (where applicable). * Build and maintain SQL Server objects (tables, views, functions, procedures) to support analytics and operational data needs. * Develop reusable frameworks for ingestion, transformation, orchestration, scheduling, and monitoring of pipelines. * Implement incremental loads, CDC\-style patterns, and robust restartability (idempotent processing). **Data Quality, Controls \& Governance** * Implement data quality checks (completeness, accuracy, duplication, referential integrity, timeliness) and automated exception handling. * Maintain metadata, lineage, and documentation for pipelines and key datasets. * Support auditability and controlled promotion across environments (dev/test/prod), including deployment standards. **Performance \& Reliability** * Optimize SQL performance through indexing strategies, query tuning, partitioning, and efficient transformation patterns. * Monitor and troubleshoot pipeline failures, data anomalies, and performance bottlenecks. * Ensure high availability and operational resilience for critical data processes. **Collaboration \& Delivery** * Work closely with analysts, modelers, reporting teams, and business stakeholders to understand requirements and translate them into scalable data solutions. * Contribute to Agile delivery practices (refinement, estimation, sprint planning, technical design reviews). * Provide production support and participate in root\-cause analysis and continuous improvement. Our Ideal Candidate We are looking for a detail\-oriented and...
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