Quantitative Analyst Graduate 2027

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Nedbank

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Johannesburg

I

Gauteng, ZA

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Quantitative Analyst Graduate 2027

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Nedbank

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Johannesburg

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Gauteng, ZA

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Quantitative Analyst Graduate 2027

Nedbank Logo 2026

Nedbank

Johannesburg

I

Gauteng, ZA

Posted Date:

Closing Date:

Finance

Grad Programme

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On-Site

Market Related

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Quantitative Analyst Graduate 2027

Nedbank Logo 2026

Nedbank

Johannesburg

I

Gauteng, ZA

Posted Date:

Closing Date:

Finance

Grad Programme

Entry Level

On-Site

Market Related

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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 2026

  • Apply 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 2026

  • Apply 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 2026

  • Apply 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 2026

  • Apply 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.

Report An Issue

The data on this page gets updated

Hello MzansiJune 22, 202608:42:26

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The data on this page gets updated

Hello MzansiJune 22, 202608:42:26

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