Quantitative Analytics Graduate Programme 2026

Nedbank; Johannesburg; On-site; ZAR 300,000 - 420,000; Full time

Job summary

Nedbank is seeking graduates for its Quantitative Analysts Graduate Programme in Johannesburg. You will develop world-class models and assessment strategies to support risk management, while actively contributing to best-practice development and regulatory alignment.

The role emphasises training, cross-functional collaboration and strong data analysis. No prior experience required; postgraduate study is welcomed as part of ongoing professional development.

Qualifications

• Undergraduate degree required; postgraduate degree preferred in math, stats, engineering or related field.
• Exposure to quantitative risk management or modelling is advantageous.
• No experience required for this graduate programme.
• Strong analytical thinking, business writing and communication skills.
• Familiarity with governance, risk and controls concepts is beneficial.

Responsibilities

• Identify opportunities to improve processes, models and systems and add value to Nedbank.
• Participate in programme committees to support personal and professional development.
• Engage with business through forums to ensure needs are met.
• Assist in data extraction and analysis to address queries.
• Document processes and models to maintain knowledge continuity.
• Monitor and analyse data to ensure policy compliance.
• Bridge operational and analytical concepts through clear communication.
• Identify training needs and share industry trends with the team.
• Support culture initiatives contributing to transformation goals.

Skills

Quantitative Skills

Governance, Risk and Controls

Communication

Decision Making

Stakeholder Management

Teamwork

Business Writing

Education

Undergraduate Degree

Postgraduate degree, Honours or Masters in relevant field

Tools

Microsoft Office

Job description

Nedbank is seeking graduates for its Quantitative Analysts Graduate Programme in Johannesburg. You will develop world-class models and assessment strategies to support risk management, while actively contributing to best-practice development and regulatory alignment.

The role emphasises training, cross-functional collaboration and strong data analysis. No prior experience required; postgraduate study is welcomed as part of ongoing professional development.