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PwC graduate programme for Financial Modeling, Financial Engineering, Mathematical Finance, Mathematics Quantitative, Risk Management, Actuarial Science, Mathematical Statistics graduates

Quantitative Risk Graduate Programme 2025


Quantitative Risk Graduate Programme 2025 (PWC240313-2) - PwC

Closing Date 2024/04/07

Reference Number PWC240313-2

Opportunity Quantitative Risk Graduate Programme 2025

Intake year 2025

Contract Type Fixed Term

Location - Country South Africa

Location - Office Cape Town, Johannesburg


Our strategy, The New Equation, is about how PwC brings together unique combinations of people, powered by technology, galvanizing ourselves as a community of solvers to address those dual challenges. The foundation of the strategy is our multidisciplinary model, which allows us to help clients build trust and deliver sustained outcomes by bringing together deep expertise across a broad range of capabilities. It is this combination of capabilities and the ability to look at things from different perspectives that is so essential to delivering high quality and real impact for clients, stakeholders and society at large in Africa and globally.

Actuarial, Risk & Quants (ARQ) is a global team within PwC that provides cutting-edge actuarial, quantitative risk and financial consulting services to a wide range of clients. PwC offers a flexible and dynamic work environment that exposes you to an elite global network of actuarial and quantitative risk management experts. During your career with us you’ll get to work with a young, driven, supportive team in a fun, friendly and professional environment. You can expect excellent mentorship, stretch assignments and international exposure early in your career. You’ll be working on a variety of projects across a range of industries, covering valuations and banking exposure.


We’re looking for full-time South African students who are currently enrolled at an accredited tertiary institution and are in their ultimate year of their Quantitative degree (includes Honours and/or Masters).

The following degrees will be considered:

Financial Modeling

Financial Engineering

Mathematical Finance


Quantitative Risk Management

Actuarial Science

Mathematical Statistics

Technical knowledge of programming languages like SAS, VBA, Python and Matlab is an advantage.


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