Internships

Standard Bank of South Africa Internship Programmes 2026

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Job Overview

Business Segment: Personal & Private Banking

Institution: Standard Bank of South Africa

Placement: ZA, GP, Johannesburg, 30 Baker Street

Schedule Shift: Full-time

Job Description

Join our Dynamic Credit Operations Team as a Graduate Trainee!

Are you a talented individual ready to launch your career in the dynamic world of banking operations? Join our thrilling 18-month graduate programme and become a masterful Operational Practitioner. Dive into process management, business intelligence, automation, and data analytics, and be at the forefront of our organization’s success!

What You’ll Experience

We’re dedicated to your personal growth! Through our carefully crafted rotation programme, you’ll gain hands-on experience in various areas, be mentored by seasoned managers, and earn certifications tailored to your interests and the tools we use. Get ready to embark on a journey that will shape you into an Operational Practitioner in the banking operational environment.

You’ll explore:

Secured and Unsecured Credit Operations
Regulatory environments such as Debt Review, Deceased Estates, and Insolvent Estates
Debt Care Centre
Operational support areas like Business Transformation, Supplier and Risk Governance, and Data and Analytics
Mentorship: Benefit from the expertise of our seasoned professionals who will guide you throughout your journey.
Permanent Employment: From day one, you’ll be a permanent employee. After completing your rotations, you’ll have the opportunity to choose a team that aligns with your career aspirations.

Why Join Us?

Comprehensive Training: Develop a strong understanding of credit operations and risk management.
Career Growth: Position yourself for a successful career with opportunities for advancement.
Supportive Environment: Thrive in a collaborative and supportive workplace that values your growth and development.

Take the first step towards a rewarding career in Credit Risk Operations. Apply now and become a part of our innovative team!

Personal & Private Banking (PPB) Credit Operations Programme

Job Ref ID: 80449569A-0001

Qualifications

A Honours degree or Postgraduate Diploma in a field aligned to operations, credit or risk. The Postgraduate Diploma must be preceded by a Degree in a relevant field

BA/ BCom/ BEng/ BSc/ LLB

Relevant fields of study include:

Operations Management or Business Operations
Credit Management or Banking or Financial Services Operations
Risk Management or Operational Risk
Industrial Engineering (process or operations‑focused)
Business Administration (operations‑focused)

Acceptable fields (only if accompanied by a minimum of Honours/ Postgraduate Diploma in the above relevant fields):

Accounting
Law
Economics

The programme is best suited to graduates whose studies focused on operational processes, governance, controls and working within regulated environments.

Graduates that want to specialise in Law, Accounting or Economics will find other programmes more suitable.

Personal & Private Banking (PPB) Data Science Programme

Job Ref ID: 80418654A-0001

Qualifications

Completed or currently enrolled in an Honours or Master’s degree in the following fields:

Data Science / Analytics
Statistics
Computer Science
Applied Mathematics
Quantitative Risk Management
Engineering (Computer, Industrial, Electronic, Electrical, Mechatronic, Mechanical, Chemical)

Honours (or an equivalent 4-year degree), to be completed by 31 December 2026.

Personal & Private Banking (PPB) Risk Programme

Job Ref ID: 80439021A-0002

Qualifications

Masters or Honours

BSc/BCom/ BDatSci
Statistics
Data Science
Pure Mathematics
Computational and Applied Mathematics
Informatics/ Information Systems
Computer Science
Econometrics

Additional Information

Minimum requirements:

Must be a South African citizen.
Should you have work experience, it should not exceed 12-24 months.
Matric certificate to be submitted with application.
ID copy to be submitted with application.
Minimum academic average of 70% for the 3rd year of undergraduate studies.
Minimum academic average of 65% for Honours (or the 4th year of an equivalent 4‑year degree) or Master’s studies

Full academic transcripts to be submitted with application for undergraduate and postgraduate studies.

Honours to be completed by 31 December 2026

Best Before: 31 May 2026

NB: To ensure efficient processing of your application, please submit original electronic PDF (non‑scanned) versions of your documents.

Behavioural Economics (with an interest in applied banking analytics, credit decisioning or fraud behaviour)
Actuarial Science (with an interest in banking credit risk, risk analytics, or financial risk management)

This programme is designed for graduates who want to specialise in banking risk analytics and apply quantitative skills to credit decisioning, fraud risk, capital and impairment models within a banking environment.

Applicants whose primary career interest lies in insurance actuarial work, product pricing or investment banking may find other programmes better aligned to those pathways.

Honours to be completed by 31 December 2026.

Data

Assist the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organisations goals. Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation, and derivation of new variables/features. Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders.

Assists various mathematical, statistical, and simulation techniques to typically large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes. Assists analytics and insights across the organisation by developing advanced statistical models and computational algorithms based on business initiatives.

Codes, tests, and maintains scientific models and algorithms and identifies trends, patterns, and discrepancies in data and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis.

Use data profiling and visualisation techniques using tools to understand and explain data characteristics that will inform modelling approaches. Communicate data information to business with respective stakeholders, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations under the supervision of data scientists.

Utilises the appropriate data storage and data mining tools to ensure value can be extracted from the sourced data. Mines data using state-of-the-art methods and enhances data collection procedures to include information that is relevant for building models.