Quantitative Analyst Graduate 2027
Nedbank
Verified
Johannesburg
I
Gauteng, ZA
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Quantitative Analyst Graduate 2027
Nedbank
Verified
Johannesburg
I
Gauteng, ZA
Featured
Copy Job Reference
Copied
Posted Date:
Closing Date:
Finance
Grad Prog
Entry Level
On-Site
Market Related
Back
Quantitative Analyst Graduate 2027
Nedbank
I
Gauteng, ZA
Posted Date:
Closing Date:
Finance
Grad Prog
Entry Level
On-Site
Market Related
Copy Job Reference
Copied
Back
Quantitative Analyst Graduate 2027
Nedbank
Johannesburg
I
Gauteng, ZA
Posted Date:
Closing Date:
Finance
Grad Prog
Entry Level
On-Site
Market Related
Job Reference
Copied
Back
1
Position Overview
Nedbank is recruiting graduates for its prestigious Quantitative Analyst Graduate Programme 2027 based in Johannesburg. This programme is designed to develop world-class quantitative analysts who will contribute to advanced financial modelling, risk assessment, and data-driven decision-making within the bank. Successful candidates will gain exposure to cutting-edge quantitative methods used in modern banking and risk management.
The role offers a market-related graduate package and provides an excellent launchpad into careers in quantitative finance, risk analytics, and financial engineering.
1
Position Overview
Nedbank is recruiting graduates for its prestigious Quantitative Analyst Graduate Programme 2027 based in Johannesburg. This programme is designed to develop world-class quantitative analysts who will contribute to advanced financial modelling, risk assessment, and data-driven decision-making within the bank. Successful candidates will gain exposure to cutting-edge quantitative methods used in modern banking and risk management.
The role offers a market-related graduate package and provides an excellent launchpad into careers in quantitative finance, risk analytics, and financial engineering.
1
Position Overview
Nedbank is recruiting graduates for its prestigious Quantitative Analyst Graduate Programme 2027 based in Johannesburg. This programme is designed to develop world-class quantitative analysts who will contribute to advanced financial modelling, risk assessment, and data-driven decision-making within the bank. Successful candidates will gain exposure to cutting-edge quantitative methods used in modern banking and risk management.
The role offers a market-related graduate package and provides an excellent launchpad into careers in quantitative finance, risk analytics, and financial engineering.
1
Position Overview
Nedbank is recruiting graduates for its prestigious Quantitative Analyst Graduate Programme 2027 based in Johannesburg. This programme is designed to develop world-class quantitative analysts who will contribute to advanced financial modelling, risk assessment, and data-driven decision-making within the bank. Successful candidates will gain exposure to cutting-edge quantitative methods used in modern banking and risk management.
The role offers a market-related graduate package and provides an excellent launchpad into careers in quantitative finance, risk analytics, and financial engineering.
2
Minimum Requirements
Applicants must have:
Undergraduate Degree (NQF Level 7)
Strong quantitative and analytical skills
Knowledge of statistics, mathematics, or risk modelling
Good communication and problem-solving abilities
Ability to work with complex data and multiple variables
Computer literacy, including Microsoft Office
Preferred Qualifications
Honours or Master’s Degree in:
Pure Mathematics
Applied Mathematics
Statistics
Engineering
Econometrics
Financial Engineering
Quantitative Risk Management
Related quantitative fields
Advantageous:
Exposure to data analysis or modelling tools
Financial markets knowledge
Programming knowledge (Python, R, SQL, SAS)
NB: No work experience required. Strong academic performance improves competitiveness.
2
Minimum Requirements
Applicants must have:
Undergraduate Degree (NQF Level 7)
Strong quantitative and analytical skills
Knowledge of statistics, mathematics, or risk modelling
Good communication and problem-solving abilities
Ability to work with complex data and multiple variables
Computer literacy, including Microsoft Office
Preferred Qualifications
Honours or Master’s Degree in:
Pure Mathematics
Applied Mathematics
Statistics
Engineering
Econometrics
Financial Engineering
Quantitative Risk Management
Related quantitative fields
Advantageous:
Exposure to data analysis or modelling tools
Financial markets knowledge
Programming knowledge (Python, R, SQL, SAS)
NB: No work experience required. Strong academic performance improves competitiveness.
2
Minimum Requirements
Applicants must have:
Undergraduate Degree (NQF Level 7)
Strong quantitative and analytical skills
Knowledge of statistics, mathematics, or risk modelling
Good communication and problem-solving abilities
Ability to work with complex data and multiple variables
Computer literacy, including Microsoft Office
Preferred Qualifications
Honours or Master’s Degree in:
Pure Mathematics
Applied Mathematics
Statistics
Engineering
Econometrics
Financial Engineering
Quantitative Risk Management
Related quantitative fields
Advantageous:
Exposure to data analysis or modelling tools
Financial markets knowledge
Programming knowledge (Python, R, SQL, SAS)
NB: No work experience required. Strong academic performance improves competitiveness.
2
Minimum Requirements
Applicants must have:
Undergraduate Degree (NQF Level 7)
Strong quantitative and analytical skills
Knowledge of statistics, mathematics, or risk modelling
Good communication and problem-solving abilities
Ability to work with complex data and multiple variables
Computer literacy, including Microsoft Office
Preferred Qualifications
Honours or Master’s Degree in:
Pure Mathematics
Applied Mathematics
Statistics
Engineering
Econometrics
Financial Engineering
Quantitative Risk Management
Related quantitative fields
Advantageous:
Exposure to data analysis or modelling tools
Financial markets knowledge
Programming knowledge (Python, R, SQL, SAS)
NB: No work experience required. Strong academic performance improves competitiveness.
3
Key Responsibilities
Successful applicants will be responsible for:
Developing and maintaining quantitative models
Assisting with risk analysis and assessment strategies
Extracting and analysing business data
Improving business processes, models, and systems
Supporting regulatory compliance and governance reporting
Documenting quantitative processes and models
Participating in programme committees and development initiatives
Tip: Candidates with academic projects in statistics, modelling, machine learning, or financial risk analysis should highlight these on their CV.
3
Key Responsibilities
Successful applicants will be responsible for:
Developing and maintaining quantitative models
Assisting with risk analysis and assessment strategies
Extracting and analysing business data
Improving business processes, models, and systems
Supporting regulatory compliance and governance reporting
Documenting quantitative processes and models
Participating in programme committees and development initiatives
Tip: Candidates with academic projects in statistics, modelling, machine learning, or financial risk analysis should highlight these on their CV.
3
Key Responsibilities
Successful applicants will be responsible for:
Developing and maintaining quantitative models
Assisting with risk analysis and assessment strategies
Extracting and analysing business data
Improving business processes, models, and systems
Supporting regulatory compliance and governance reporting
Documenting quantitative processes and models
Participating in programme committees and development initiatives
Tip: Candidates with academic projects in statistics, modelling, machine learning, or financial risk analysis should highlight these on their CV.
3
Key Responsibilities
Successful applicants will be responsible for:
Developing and maintaining quantitative models
Assisting with risk analysis and assessment strategies
Extracting and analysing business data
Improving business processes, models, and systems
Supporting regulatory compliance and governance reporting
Documenting quantitative processes and models
Participating in programme committees and development initiatives
Tip: Candidates with academic projects in statistics, modelling, machine learning, or financial risk analysis should highlight these on their CV.
4
What You Will Gain
Employees will benefit from:
Structured graduate development programme
Exposure to advanced quantitative modelling
Mentorship from industry experts
Strong career path in banking analytics and risk
Experience working on real financial datasets
Tip: Quant roles are highly competitive—showcase academic excellence, mathematical strength, and analytical thinking.
4
What You Will Gain
Employees will benefit from:
Structured graduate development programme
Exposure to advanced quantitative modelling
Mentorship from industry experts
Strong career path in banking analytics and risk
Experience working on real financial datasets
Tip: Quant roles are highly competitive—showcase academic excellence, mathematical strength, and analytical thinking.
4
What You Will Gain
Employees will benefit from:
Structured graduate development programme
Exposure to advanced quantitative modelling
Mentorship from industry experts
Strong career path in banking analytics and risk
Experience working on real financial datasets
Tip: Quant roles are highly competitive—showcase academic excellence, mathematical strength, and analytical thinking.
4
What You Will Gain
Employees will benefit from:
Structured graduate development programme
Exposure to advanced quantitative modelling
Mentorship from industry experts
Strong career path in banking analytics and risk
Experience working on real financial datasets
Tip: Quant roles are highly competitive—showcase academic excellence, mathematical strength, and analytical thinking.
5
Application Process
How to Apply
Submit:
Updated CV
Academic transcripts
Qualifications / proof of study
Supporting documents requested during application
Ensure your CV includes:
Academic achievements
Quantitative coursework
Projects / research work
Technical tools and software skills
Closing date is
30 June 2026Apply early — late submissions will not be accepted.
Click the
Apply Button— you will be redirected to the official Nedbank application page.
Tip: Missing transcripts or incomplete applications may lead to automatic disqualification.
5
Application Process
How to Apply
Submit:
Updated CV
Academic transcripts
Qualifications / proof of study
Supporting documents requested during application
Ensure your CV includes:
Academic achievements
Quantitative coursework
Projects / research work
Technical tools and software skills
Closing date is
30 June 2026Apply early — late submissions will not be accepted.
Click the
Apply Button— you will be redirected to the official Nedbank application page.
Tip: Missing transcripts or incomplete applications may lead to automatic disqualification.
5
Application Process
How to Apply
Submit:
Updated CV
Academic transcripts
Qualifications / proof of study
Supporting documents requested during application
Ensure your CV includes:
Academic achievements
Quantitative coursework
Projects / research work
Technical tools and software skills
Closing date is
30 June 2026Apply early — late submissions will not be accepted.
Click the
Apply Button— you will be redirected to the official Nedbank application page.
Tip: Missing transcripts or incomplete applications may lead to automatic disqualification.
5
Application Process
How to Apply
Submit:
Updated CV
Academic transcripts
Qualifications / proof of study
Supporting documents requested during application
Ensure your CV includes:
Academic achievements
Quantitative coursework
Projects / research work
Technical tools and software skills
Closing date is
30 June 2026Apply early — late submissions will not be accepted.
Click the
Apply Button— you will be redirected to the official Nedbank application page.
Tip: Missing transcripts or incomplete applications may lead to automatic disqualification.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
An undergraduate degree (NQF 7) is required. Honours or Master’s in quantitative disciplines is preferred.
Who can apply?
Graduates or final-year students with strong mathematical or quantitative backgrounds.
Is experience required?
No. This is a graduate opportunity.
How do I apply?
Click the Apply Button — you will be redirected to the official Nedbank application page and upload all required documents.
Is there career growth?
Yes. This programme can lead to careers in quantitative analytics, financial engineering, model validation, risk management, and data science.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
An undergraduate degree (NQF 7) is required. Honours or Master’s in quantitative disciplines is preferred.
Who can apply?
Graduates or final-year students with strong mathematical or quantitative backgrounds.
Is experience required?
No. This is a graduate opportunity.
How do I apply?
Click the Apply Button — you will be redirected to the official Nedbank application page and upload all required documents.
Is there career growth?
Yes. This programme can lead to careers in quantitative analytics, financial engineering, model validation, risk management, and data science.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
An undergraduate degree (NQF 7) is required. Honours or Master’s in quantitative disciplines is preferred.
Who can apply?
Graduates or final-year students with strong mathematical or quantitative backgrounds.
Is experience required?
No. This is a graduate opportunity.
How do I apply?
Click the Apply Button — you will be redirected to the official Nedbank application page and upload all required documents.
Is there career growth?
Yes. This programme can lead to careers in quantitative analytics, financial engineering, model validation, risk management, and data science.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
An undergraduate degree (NQF 7) is required. Honours or Master’s in quantitative disciplines is preferred.
Who can apply?
Graduates or final-year students with strong mathematical or quantitative backgrounds.
Is experience required?
No. This is a graduate opportunity.
How do I apply?
Click the Apply Button — you will be redirected to the official Nedbank application page and upload all required documents.
Is there career growth?
Yes. This programme can lead to careers in quantitative analytics, financial engineering, model validation, risk management, and data science.
7
Disclaimer
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify details via the official employer website.
7
Disclaimer
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify details via the official employer website.
7
Disclaimer
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify details via the official employer website.
7
Disclaimer
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify details via the official employer website.
Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process.
Any request for payment should be reported to us immediately.
Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process. Any request for payment should be reported to us immediately.
Spanisam does not charge job seekers any fees. If anyone asks you to pay to apply for a job, report it to us immediately.
Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process. Any request for payment should be reported to us immediately.
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© 2026
Spanisam. All rights reserved.
South Africa's leading job board connecting talented professionals with amazing opportunities across the country.
Navigation
Legal
© 2026
Spanisam. All rights reserved.