PSG Financial Services, a leading advice-led financial technology firm in South Africa, is officially inviting ambitious graduates to apply for its 2026 Graduate Programme. Recognized for its excellence in wealth management, asset management, and insurance, PSG offers one of the most comprehensive “fast-track” development initiatives in the South African financial sector.
This 12-month structured programme is designed to transform high-achieving graduates into industry experts through dedicated mentorship, technical training, and hands-on exposure to complex financial and technological environments.
PSG Graduate Programme 2026: Fast Facts
| Feature | Details |
| Employer | PSG Financial Services |
| Duration | 12-Month Fixed-Term Contract |
| Location | Nationwide, South Africa |
| Closing Date | Ongoing / Not Specified (Early application advised) |
| Qualification Level | Degree / Honours / Masters / PhD |
Targeted Fields of Study
PSG is looking for a diverse range of analytical talent. Applicants must hold a qualification in one of the following high-impact disciplines:
Finance & Commerce
- Accounting, Economics, and Econometrics.
- Finance, Financial Planning, and Investments.
- Insurance and Risk Management.
Engineering & Technology
- Computer, Chemical, Electrical & Electronic, Industrial, and Mechanical Engineering.
- Information Systems and Computer Science.
Data & Mathematical Sciences
- Actuarial Science and Data Science.
- Mathematics, Statistical Sciences, and Applied Mathematics.
- Law (Specialized legal/compliance roles).
What the Programme Offers
The PSG Graduate Programme is built on a “Mentorship and Buddy System” to ensure you are supported from day one:
- Technical Excellence: On-the-job training using PSG’s proprietary financial technology and platforms.
- Professional Growth: Soft skills development focusing on leadership, communication, and corporate etiquette.
- Career Pathing: Strong opportunity for performance-based permanent employment upon completion of the 12 months.
- Benefits: Access to competitive employee benefits and networking with top-tier industry professionals.
Mandatory Application Requirements
To qualify for the 2026 intake, you must be a South African citizen and have completed (or be in the final year of) a relevant qualification. PSG looks for “Ambitious and Driven” individuals ready for a fast-paced corporate culture.
Required Document Checklist:
- Comprehensive CV: Detailing your academic achievements and leadership roles.
- Certified ID Copy: Mandatory for citizenship verification.
- Full Academic Record: Including your most recent results for all years of study.
How to Apply: Digital Submission
Applications for PSG are strictly handled through their central careers portal. Because no closing date is specified, it is highly recommended to apply as soon as your final results or degree certificates are available.
Application Link: Apply for PSG Graduate Programme 2026 Here
Frequently Asked Questions (FAQs)
1. Does PSG accept “General” degrees?
PSG’s programme is highly specialized. While they accept a wide range of degrees, they prioritize Honours, Masters, and PhD levels, especially in technical fields like Engineering, Data Science, and Actuarial Science.
2. Where will I be based?
PSG has a massive footprint across South Africa. While many corporate roles are based in Sandton (Gauteng) and Tyger Valley (Western Cape), regional advice offices may also host graduates.
3. What is the “Mentorship and Buddy System”?
You are assigned a Mentor (a senior professional for career guidance) and a Buddy (a previous graduate or junior staff member for daily operational support). This dual layer helps you integrate into the company culture quickly.
4. Can I apply if I graduated two years ago?
Yes. As long as you have not participated in a previous formal graduate programme and meet the academic requirements, you are eligible to apply as a “recent graduate.”
5. Why are Engineering degrees included in a Financial Services programme?
Modern finance is built on FinTech. PSG requires the logical, mathematical, and problem-solving skills of engineers to optimize their technology platforms, risk models, and data analytics engines.