Data Scientist at FNB in Johannesburg
FNB · Johannesburg, Gauteng
Overview
FNB is looking for a Data Scientist in Johannesburg to build and optimise quantitative models that solve real business problems. You will work with advanced statistical methods, influence customer experience, and help shape strategy with data driven insights. This full time role sits within the Data and Analytics team and offers a solid step for someone with strong modelling skills who wants to grow in banking analytics.
About the role
As a Data Scientist at FNB, you will plan, build, and implement innovative quantitative analytical methods and advanced mathematical models that support business decisions. You will work with data to improve customer experience, identify revenue opportunities, and monitor how business decisions perform.
What you will do:
- Develop, test, and maintain statistical and mathematical models with minimal supervision.
- Run regular model audits and updates to keep outputs relevant and accurate.
- Translate business questions into practical analytical solutions.
- Prepare data sources, analyse information, and create reports for stakeholders.
- Collaborate with different departments to ensure data is used correctly.
- Support junior analysts and contribute to model libraries and standards.
- Ensure compliance with privacy, governance, and legislative requirements.
Application note: Applications close on 09 November 2026. Submit your application before the closing date. You will apply on RMB's official site.
Requirements
- Relevant quantitative or analytical qualification such as a degree in statistics, mathematics, data science, or a related field.
- Experience in building, testing, and implementing statistical or mathematical models.
- Knowledge of advanced statistical, quantitative, or econometric techniques.
- Ability to analyse data, interpret results, and present insights to stakeholders.
- Understanding of governance, compliance, and privacy requirements in a financial environment.
- Strong communication and relationship building skills.
- Ability to work with minimal guidance and take ownership of models.
Responsibilities
- Plan, build, optimise, and implement quantitative analytical methodologies, procedures, and advanced mathematical models.
- Maintain ownership of models through regular audits and updates to ensure relevance.
- Test outputs and accuracy of models.
- Use data and analytic insights to improve customer experience and identify monetisation opportunities.
- Validate, interpret, and create reports and presentations for management and stakeholders.
- Review and assist more junior Quantitative Analysts with processes and models.
- Source and prepare relevant data sources for analysis.
- Develop and apply analytical algorithms and methods to build, test, and implement robust mathematical models and analytical solutions.
- Document and audit relevant processes.
- Collaborate with departments across the business to ensure proper use of data.
- Identify, control, and escalate potential risks that may lead to increased costs.
- Adhere to model building policies, standards, frameworks, and governance processes.
Job details
- Organisation
- FNB
- Location
- Johannesburg, Gauteng
- Job type
- Full time
- Experience level
- Mid
- Education
- Bachelor
- Category
- IT & Software Development
- Posted
- 30 October 2026 (1 week ago)
- Closing date
- 9 November 2026
- Application Method
- Apply online
Success Guide
When you apply for this Data Scientist role at FNB, make sure your CV clearly shows the models you have built and the impact they had. Use numbers where you can, like how a model improved a process or saved time. The team values people who can explain technical work in plain language, so prepare a short example of how you shared insights with non technical stakeholders for the interview. Also have your degree certificate and academic transcript ready, as these are likely to be checked. FNB supports the recruitment of people with disabilities, so if that applies to you, you can disclose it voluntarily. Take your time with the online application on the FirstRand site and submit before 09 November 2026.
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