Company: Nedbank Limited
Industry: Financial Services, Banking, Quantitative Analytics & Risk Management
Job Family: Business and Commercial Banking (Quantitative Stream)
Location: Johannesburg, Gauteng
Position Type: Full-Time Permanent (Graduate to Early Career)
Job Requisition ID: 146942
Posted Date: 29 July 2026
Closing Date: Monday, 10 August 2026
About Nedbank & The Quantitative Analytics Team
Nedbank is one of South Africa’s premier financial institutions. Within the Business and Commercial Banking division, the Quantitative Analytics team builds and maintains world-class risk models, data pipelines, and analytical strategies that facilitate evidence-based decision-making.
As a Quantitative Analyst, you will bridge the gap between complex data engineering and strategic quantitative risk management. You will build ETL/ELT data pipelines, develop SQL Server database objects, perform exploratory data analysis, and support quantitative risk models—working closely with data engineers, risk analysts, and business stakeholders.
Key Result Areas & Daily Technical Workstreams
Your key operational responsibilities will cover five core pillars:
1. Data Engineering & Pipeline Support
- ETL/ELT Development: Build, maintain, and optimize data pipelines using SSIS, SQL stored procedures, and SAS.
- Database Objects: Create and maintain SQL Server tables, views, functions, and automated data transformation routines.
- Data Ingestion & Extraction: Extract, clean, transform, and validate multi-source financial and risk datasets.
2. Data Quality & Governance
- Integrity Checks: Conduct rigorous data quality validation to ensure dataset completeness, accuracy, and consistency.
- Governance Compliance: Maintain comprehensive documentation for data pipelines and adhere to data security and change management standards.
3. Risk Modeling & Analytical Insights
- Solution Engineering: Assist in developing and testing best-practice risk models and credit/operational assessment strategies.
- Ad-Hoc Business Insights: Extract complex datasets to answer stakeholder inquiries, track key portfolio metrics, and deliver actionable business recommendations.
4. Operational Support & Agile Collaboration
- Pipeline Monitoring: Track scheduled data jobs, troubleshoot execution failures, and investigate data anomalies.
- Agile Delivery: Active participation in Agile sprint planning, code peer reviews, testing, and continuous process optimization.
Candidate Profile & Minimum Entry Requirements
To qualify for this quantitative analytics opportunity, candidates must meet the following criteria:
- Academic Qualifications:
- Minimum: Completed Bachelor’s Degree (NQF Level 7) in Statistics, Mathematics, Quantitative Finance, Actuarial Science, Data Science, Computer Science, Engineering, or Economics.
- Preferred: Postgraduate degree (Honours/Master’s) in a quantitative discipline.
- Advantageous: Professional credentials such as CFA, FRM, or CQF.
- Experience Level: Graduate up to 2 years of experience in Quantitative Analysis, Data Analytics, Risk Analytics, Data Engineering, or Business Intelligence (BI).
- Required Technical Stack:
- SQL / SQL Server: Strong hands-on querying, stored procedures, and database object creation.
- ETL & Analytics: Proficiency or exposure to SSIS and SAS.
- Data Tools: Advanced Microsoft Excel capabilities and familiarity with data pipeline automation.
- Location: Based in or willing to relocate to Johannesburg, Gauteng.
Career Advice for Nedbank Applicants
- Highlight SQL & Pipeline Experience: Nedbank explicitly screens for SQL Server, SSIS, and SAS. Make sure your CV clearly lists your database skills, query optimization techniques, and any ETL/ELT pipeline experience.
- Detail Quantitative Projects: If applying as a recent graduate, feature university dissertations, capstone projects, or quantitative risk modeling work (e.g., credit scoring, Monte Carlo simulations, or statistical forecasting).
- Showcase Financial & Risk Awareness: Mention your understanding of banking risk frameworks, financial ratios, or credit regulatory standards (e.g., Basel frameworks) to stand out in the Business & Commercial Banking stream.
Sample Technical & Quantitative Interview Questions
Data Engineering & SQL Questions
- Question (SQL Optimization): “How do you optimize a slow-running SQL stored procedure that joins multiple large transaction tables for a quantitative model input?”
- Question (ETL & SSIS): “What steps do you take in an SSIS data pipeline to ensure data quality and handle unexpected NULL values or schema mismatches?”
Quantitative & Risk Scenarios
- Question (Model Validation): “How do you evaluate whether an analytical dataset is reliable enough to be used in building a predictive risk model?”
How to Apply
Submit your application directly through the official Nedbank Careers portal:
- Job Requisition ID:
146942 - Talent Acquisition Contact: Bongiwe Mchunu
- Closing Date: 10 August 2026