Quantitative Analyst

The role

Build the models behind our biggest decisions.

Our pricing and financial models are at the core of how we run our business. To keep them sharp, compliant and growing, we need someone who can run complex models, push their limits and deliver analysis that people at the top of the organisation use.

This role exists because good decisions start with good models. You'll maintain what we have, improve what needs fixing and help build what comes next.

What you'll do

Run highly complex pricing and financial models and deliver analytical output that informs business decisions

Stress-test models, identify variances, conduct root cause analysis and propose solutions to fix what's off

Calculate and interpret risk in line with regulatory requirements, test model compliance and report clearly on your findings

Build components of new models and conduct accurate forecasting — tracking actuals against expected outcomes to keep the business on course

Automate regular analyses and continuously challenge existing models to find opportunities for improvement

Engage directly with business stakeholders on model output and present insights at senior, cross-functional forums

About the team

This is a role for a Level I Quantitative Analyst working on pricing and financial modelling across the enterprise. The models you work on don't sit in isolation - they connect directly to regulatory frameworks and drive real changes in pricing and provisioning practices. Your output reaches senior decision-makers and shapes how we manage risk and price our products for millions of South Africans.

Why this role is different

You won't spend your career in the background. You will contribute your knowledge to both the team and the wider organization, while also learning from experienced coworkers. You'll communicate directly with senior leaders, take responsibility for the quality of your models, and play an active role in shaping our financial frameworks. We trust our people to ask hard questions and make things better - so if you thrive on complexity and aren't afraid to challenge what exists, this is your environment.

What we're looking for

An Honours degree in Mathematics or Statistics with 1–3 years of analytical experience in a mathematically complex environment, focusing on financial models

Or a Masters’ degree in Mathematics or Statistics with 0–2 years of relevant experience

Strong knowledge of advanced statistical analysis, financial mathematics and forecasting

Familiarity with business-specific principles such as credit pricing and provisioning (advantageous)

Knowledge of regulatory frameworks such as Basel or IFRS 9, and an understanding of how the economic and operating environment affects financial and pricing strategies (advantageous)

The ability to interpret complex analysis and communicate it clearly to non-technical audiences

High attention to detail and strong numerical reasoning

A curious, self-driven mindset — someone who questions assumptions and follows through

Previous experience in banking (advantageous)

Conditions of employment

Clear criminal and credit record required

We're committed to employment equity — applications from designated groups are strongly encouraged

Apply now