FNB
Description
You will be an ideal candidate if you have the following:
Minimum Qualification - B Degree Maths, Stats, Engineering, Computer Science, Econometrics, Physics or Actuarial Science
Preferred Qualification - Honours Degree
Experience - 2+ years' experience in a data environment,
Python, SQL, MATLAB, SAS, S-PLUS or R (used for statistical analysis)
Machine learning
Data mining and data modelling
Exposure to PowerBI
You will have access to:
Opportunities to network and collaborate
Challenging Working
Opportunities to innovate
Requirements:
Town:
Randburg
Position:
Quantitative Analyst
Starting Date:
February 5, 2026
Date Created:
January 28, 2026
We can be a match if you are:
Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough to
Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it
Duties Include:
Job Description
To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures.
Hello Future Quantitative Analyst
Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.
We are currently in search of a Quantitative Analyst to plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.
Are you someone who can:
providing model training and model support
Provide guidance and support for junior members of the team in the development of Credit Models Proactively engage with Credit and the Business units to support understanding of Credit Models by
Engage with the internal validation team and external auditors, as part of the model validation and review process.
Resposibilities:
As an experienced member of the team, you are expected to proactively contribute to the model development strategy and modelling methodologies to improve the credit risk models.
Optimising existing processes
Identifying pockets of growth by means of analytical insights
Data manipulation, data mining, modelling and building analytical solutions using machine learning techniques
Additional Info:
End Date: February 4, 2026