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Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.
We believe in courageously confronting change, that is why we keep innovating for our clients. Through our gritty determination and finding new ways to win, we make our clients dreams a reality.
At Standard Bank we are passionate about helping you to achieve your dreams. Are you a recently qualified graduate who has the passion about understanding client behaviour and ability to create memorable client-centric experiences through analysis and data science, then the Money Management and Advisory Graduate Programme is for you.
We are looking for talented and inspired people to work, learn and commit to our deep client obsession in our Money Management and Advisory environment. This is an exciting opportunity to strengthen your understanding of data science and analysis.
The programme provides exposure to money management the financial services industry and success is dependent on cross-functional teamwork within client service teams and involves active learning and opportunities for various practical applications through the programme. In addition to keeping up to date on best practice, you also get the opportunity to present your insights and results to a broad range of stakeholders.
Are you up for the challenge?
If your answer is yes, then take your career to new heights.
Key responsibilities:
Application closing date: 30 June 2025
Honours or Masters in:
BSc / BCom / B Data Science
Honours qualification to be completed by 31 December 2025.
Minimum requirements:
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