Standard Bank Graduate Opportunities

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To apply, click on the link at the end of the posts and all the best with your applications

Personal & Private Banking (PPB) Data Science Graduate Programme

Job Description

For us, data is not just an asset; it’s the heartbeat of innovation and progress, fuelling our ability to drive growth on the continent we proudly call home.

In an era where our world is shaped by data-led solutions, we’re at the forefront of building this critical function in our business. Our Data Science Graduate Programme puts you right at the centre of this fast-moving area, with a focus on structured training and development and a commitment to technical, personal, and professional excellence.

So, who are we looking for? You’ll be hugely talented, with a strong quantitative background. You’ll also be obsessed with solving real client problems by analysing data, identifying insights, and building bespoke solutions. Bring these skills to our graduate programme, and discover how – through learning, support, and unrivalled exposure – you’ll transform your potential into impact.

Here, your ambition and skill will find its match in our dedication to excellence.

Key Responsibilities:

Client

Supports business integration through integrating model outputs into end-point production systems, incorporating business requirements and knowledge of best practices.

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.

People

Liaise and collaborate with the Data Science Guild providing support to stakeholders in the department for its data centric needs. Collaborate with subject matter experts to select the relevant sources of information and translates the business requirements into data mining/science outcomes. Presents findings and observations to team for development of recommendations.

Product

Supports various mathematical, statistical, and simulation techniques to answer business questions within specific areas of focus. Develops modelling solutions that enable the forecast of quality data outcomes. Ensures that volumetric predictions are modelled so that resource requirements are optimally considered. Supporting reporting production ensuring sustainable and effective modelling solutions.
Supports and implements operational IA plan, rules, methodologies, and coding initiatives in order to ensure IA for remediation efforts. Support and implements the strategy for productionalising automation software so that it is accurate and well maintained.

Technology & Architecture

Assists in building machine learning models from and utilises distributed data processing and analysis methodologies. Competent in Machine Learning programming in R or Python, with supplementary still in Matlab, Java, etc. Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka.

Ready? Apply for the Standard Bank Data Science Graduate Programme below.

Application closing date: 31 May 2026

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.

Additional Information

Minimum requirements:

Must be a South African citizen.
Should you have work experience, it should not exceed 24 months
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.
Matric certificate to be submitted with application.
Full academic transcripts to be submitted with application for undergraduate and postgraduate studies.

Click here to apply

Accountant, CA Training Programme

Job Description

Standard Bank CA(SA) Training Programme

Discover Your Path to Success with Standard Bank’s CA(SA) Training Program
For over 25 years, our CA(SA) Training Program has been at the heart of innovation, offering a unique pathway to becoming a Chartered Accountant outside of traditional auditing. We’re looking for dynamic individuals who embrace transformation, thrive on growth, and are committed to lifelong learning. If you’re ready to learn, unlearn, and adapt at pace to stay ahead, this program is for you.

Building the future is exciting, but it requires boldness and determination. We seek challenge-seekers, not bystanders—those motivated by transformation, growth, and the pursuit of excellence.

With over 60 executives and senior managers emerging from our program, we’ve established a legacy of leadership and impact. Our rotational model spans 40+ opportunities, offering diverse experiences and international exposure to ensure every trainee’s journey is tailored to their potential and aspirations.

A Year-by-Year Experience

First Year: Begin with finance-focused rotations, strategically designed to help you achieve SAICA competencies while gaining a holistic view of banking operations.
Second Year: Personalize your journey with rotations tailored to your unique skills and SAICA competency needs, deepening expertise and broadening your foundation.
Third Year: Explore your interests and preferences as you complete SAICA competencies, preparing for permanent placement and excelling in your chosen path.

Comprehensive Support for Your Success

Our program ensures you thrive with:

Exam Support: Tailored assistance for ITC and APC success.
Leadership Development: Upskilling through specialized initiatives.
Continuous Learning: Access to our CA-focused learning and development platform.
Executive Engagement: Insight sessions with senior leaders to explore business units and opportunities.
Coaching and mentorship: Each trainee is provided with mentors and coaches to assist in navigating their journey within our vast organization.

Join the Future of Leadership

At Standard Bank, we’re passionate about growing our people—and WE ARE PASSIONATE ABOUT GROWING YOU. Push boundaries, unlock your potential, and become a visionary CA(SA) shaping the future of business.

Choose Standard Bank. Choose to lead.

Qualifications

Post Grad Degree from a SICA accredited university

Completed or completing SAICA-accredited Certificate in the Theory of Accounting,
Honours (HNS) in Accounting
Postgraduate Diploma in Accounting (PGDA) or equivalent
Graduate Diploma in Accounting (GDA) or equivalent.
Post passing GDA, CTA or PGDA you must be eligible to write the IAC Board assessment

NB Please note that you are NOT eligible to apply to the programme if you are currently completing CTA level 1 or BCTA (Bridging course into CTA).

Additional Information

Programme duration: 36 months

Application dates: 02 February 2026 – 31 May 2026