Job Description

Job Requisition Details

REQ: 142828



Closing Date: 14 November 2025



Talent Acquisition: Precious Motlhako


Cluster and Location
Personal and Private Banking



Johannesburg, Sandton



Hybrid


Career Stream
Quantitative
Leadership Pipeline
Manage Self: Professional

Job Purpose

To build and maintain data pipelines and models that feed into impairment models (IFRS 9), capital adequacy reporting (Basel frameworks), and related risk analytics. The ideal candidate is technically strong in Netezza, SAS, and SQL, understands the banking data environment, and can balance data engineering precision with business understanding. We are searching for a candidate that will act as a bridge between technical teams and finance/risk stakeholders, ensuring data flows are efficient, transparent and RDARR compliant (BCBS239).

Job Responsibilities

Data Engineering & Modelling


Develop and maintain ETL/ELT pipelines for impairments, capital, and risk reporting. Build data marts and analytical models supporting IFRS 9, Basel III/IV, and internal risk models. Optimize SQL queries and Netezza performance for large financial datasets. Maintain documented, reusable transformation logic.
Data Quality & Controls


Design and implement data validation checks for completeness and accuracy. Support data lineage and audit requirements for regulatory reporting. Apply strong version control and testing practices.
Collaboration & Stakeholder Engagement


Work closely with Finance, Risk, and Credit Modelling teams. Translate technical outputs into business insights. Act as a subject matter expert (SME) for Netezza and analytics best practices. Provide mentorship on SQL and data modelling.
Technology & Process Improvement


Drive best practices in ELT/ETL development within Netezza, SAS and other tools within the bank. Collaborate with IT and infrastructure to ensure optimal data performance. Automate manual data preparation tasks.

Essential Qualifications - NQF Level
Matric / Grade 12 / National Senior Certificate Advanced Diplomas/National 1st Degrees Preferred Qualification

3-year qualification in a Mathematical related BSc, Engineering, CFA, FRM, CQF
Minimum Experience Level
2-5 years of experience in banking or financial data environments. Advanced SQL (Netezza or similar MPP platforms). Strong SAS for data extraction and transformation. Knowledge of ETL/ELT and data visualization tools (Power BI).

Technical / Professional Knowledge

Business Acumen Industry trends Microsoft Office Principles of project management Relevant regulatory knowledge Relevant software and systems knowledge Risk management process and frameworks Business writing skills Microsoft Excel Quantitative Skills Behavioural Competencies
Adaptability Applied Learning Earning Trust Communication Stress Tolerance Driving for results Continuous Improvement Technical/Professional Knowledge and Skills
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Please contact the Nedbank Recruiting Team at +27 860 555 566