Title: Senior Quantitative Analyst

146145

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 solutions-driven professional who:

Demonstrates strong analytical and quantitative problem-solving skills
Has a passion for building efficient, scalable data pipelines and data solutions
Is highly proficient in SQL, data modelling, and ETL/ELT processes
Shows a strong commitment to data quality, governance, and accuracy
Communicates complex technical concepts clearly to both technical and non-technical stakeholders
Thrives in a collaborative, Agile delivery environment
Is proactive, adaptable, and driven by continuous improvement
Has a solid understanding of risk management and regulatory considerations within financial services

Essential Qualifications - NQF Level

Advanced Diplomas/National 1st Degrees
Matric / Grade 12 / National Senior Certificate

Preferred Qualification

A relevant tertiary qualification (NQF Level 7), such as a degree or advanced diploma in Mathematics, Statistics, Quantitative Finance, or a related field.
A postgraduate qualification (e.g., Honours, Master’s) or professional certification such as CFA, FRM, or CQF will be advantageous.

Minimum Experience Level

Minimum of 3–5 years’ experience within a quantitative, analytical, or data engineering environment.
Proven experience working with SQL Server, SSIS, SAS, or similar data engineering tools.
Strong knowledge of data modelling, ETL/ELT development, and performance optimisation.
Exposure to modern data platforms such as Azure Databricks or Microsoft Fabric is beneficial.
Experience within financial services or banking environments will be an added advantage.

Technical / Professional Knowledge

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
Business Acumen
Quantitative Skills

Behavioural Competencies

Applied Learning
Coaching
Communication
Collaborating
Decision Making
Continuous Improvement
Quality Orientation
Technical/Professional Knowledge and Skills

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Please contact the Nedbank Recruiting Team at +27 860 555 566

Company: Nedbank