Join Deloitte

Financial Services Advisory

Graduate Programme 

The FSA graduate programme offers you the opportunity to be rotated across all our business areas for a period of 3 years, giving you extensive exposure to a broad range of quantitative risk management techniques, such as risk and financial modelling, design and implementation of risk / capital / funding frameworks, stress testing, regulatory developments, financial instrument valuations and pricing.

As a graduate, you will join our graduate programme within FSA and will rotate in the various areas. The FSA graduate programme offers you the opportunity to rotate across three core business areas for a period of 3 years, giving you exposure to a broad range of quantitative risk management techniques, such as risk and financial modelling, design and implementation of risk / capital / funding frameworks, stress testing, regulatory developments, financial instrument valuations and pricing.

What We Offer

Unrivalled learning opportunities. Because we perform consulting services, every project is different and every client is different, providing you with fresh challenges and the opportunity to expand your professional network.
Exciting career growth prospects with remuneration to match the prospect of working closely with professionals who are leaders in their fields. The opportunity to explore less traditional actuarial fields and be involved in leading edge projects.


Extensive exposure to a broad range of risk work, providing the opportunity to build and strengthen a broad range of risk management skills

A large team of professionals to support business and professional growth and provide project resources.
The international Deloitte network provides opportunities to travel and access to International best practice.

Qualifications
University Graduate with a Masters (MCom / MSc / MPhil) or Honours degree, specialising in any of the following relevant fields:

  • Actuarial Science;
  • Applied Economics/Econometrics;
  • Computer/Data Science/Analytics;
  • Engineering (preferably Electrical or Electronic);
  • Mathematical Sciences/Statistics;
  • (Applied/Financial) Mathematics;
  • Physics;
  • Quantitative Risk Management;
  • (Applied) Statistics; or
  • Any other relevant degree.
  • The intention to pursue a professional qualification (CFA / FRM / PRM / FIA / FASSA) is advantageous.

Computer Literacy

Experience in C#, Matlab, Python, R, SAS or VBA is an advantage. 

Applications for the 2022 intake are now Closed

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