Title:  Quantitative Analyst

Job Requisition Details

Requisition ID: 146942

Location: Johannesburg, Gauteng

Closing Date: 10 August 2026

Talent Acquisition: Bongiwe Mchunu

Job Family

Business and Commercial Banking 

Career Stream

Leadership Pipeline

FAIS Affected

Job Purpose

Why Join Our Team

Job Responsibilities

• Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).
• Research and make recommendations for corporate citizenship initiatives in area of influence
• Participate and support corporate responsibility initiatives for the achievement of business strategy (e.g.. Green Strategy).
• Seek opportunities to improve business processes; models and systems by identifying and recommending effective ways to operate and adding value to Nedbank.
• Contribute to the development of differentiated; superior solutions (solution engineering) that meet stakeholder and business requirements through analysis.
• Ensure product and/or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
• Contribute to the development of differentiated; superior solutions (solution engineering) that meet stakeholder and business requirements through analysis.
• Ensure product and/or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
• Ensure business needs are met by engaging and assisting business through face to face interaction and attendance at forums and committees .
• Assist the business to address queries by extracting and analysing data.Perform ad hoc analysis and complete data requests through monitoring of data as per client specification.
• Ensure continuity and knowledge base through documenting and recording processes and models.
• Provide insights enabling growth through analytical research; systems and marketing insights by delivering analytical results and making recommendations to stakeholders.
• Ensure compliance to policy through data analysis and monitoring.Create efficiencies and streamline processes through analysis.
• Establish understanding of processes by bridging the gap between operational and analytical concepts through communication.
• Support the achievement of the business strategy; objectives and values by reviewing Nedbank and Business Unit Plan and ensuring delivered systems; process; services and solutions are aligned.Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed; experience practiced and certifications obtained and/or maintained within specified time frames.
• Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interaction
• Obtain buy-in for developing new and/or enhanced processes (e.g. operational processes) that will improve the functioning of stakeholders' businesses by highlighting benefits in support of the implementation of recommendations.

Job Responsibilities Continue

Data Engineering & Pipeline Support

• Develop, maintain, and support ETL/ELT processes using SSIS, SQL stored procedures, and SAS (where applicable).
• Create and maintain SQL Server database objects, including tables, views, functions, and stored procedures.
• Assist in the development and enhancement of data ingestion, transformation, scheduling, and monitoring processes.
• Support the implementation of data loading and transformation routines in accordance with established standards and best practices.
• Participate in data extraction, cleansing, transformation, and validation activities.

Data Quality & Governance

• Perform data quality checks to identify and resolve data issues relating to completeness, accuracy, duplication, and consistency.
• Maintain documentation for datasets, processes, and data pipelines.
• Support adherence to data governance, security, and change management standards.
• Assist with testing and validation activities during deployments and releases.

Operational Support & Reliability

• Monitor scheduled data processes and investigate failures or data anomalies.
• Assist in troubleshooting and resolving pipeline, data, and reporting issues.
• Support ongoing maintenance activities to ensure data availability and process reliability.
• Escalate complex issues to senior team members where appropriate.

Collaboration & Delivery

• Work closely with analysts, data engineers, model developers, and business stakeholders to understand data requirements.
• Contribute to Agile delivery activities, including sprint planning, refinement, estimation, and retrospectives.
• Participate in peer reviews, testing activities, and knowledge-sharing sessions.
• Support continuous improvement initiatives by identifying opportunities to enhance existing processes and solutions.

Learning & Development

• Build and develop technical skills across SQL Server, SSIS, SAS, and emerging cloud-based data technologies.
• Stay informed of industry trends, data engineering practices, and platform enhancements.
• Seek opportunities to improve technical capability and contribute to team knowledge sharing.

Essential Qualifications - NQF Level

Preferred Qualification

• Bachelor's Degree (NQF Level 7) in Statistics, Mathematics, Quantitative Finance, Actuarial Science, Data Science, Computer Science, Engineering, Economics, or a related quantitative field
• Postgraduate qualification in Statistics, Mathematics, Quantitative Finance, Data Science, Actuarial Science, Financial Engineering, or a related discipline
• Professional certifications such as CFA, FRM, CQF, or equivalent quantitative and risk-focused credentials will be advantageous

Minimum Experience Level

Technical / Professional Knowledge

Behavioural Competencies