KPMG is the authoritative voice in Africa - unmatched in our ability to provide excellent service to our global, regional and local clients.
KPMG in Africa's footprint ensures our forward-thinking, skilled professionals understand the complexities of doing business on this continent.
Our deep expertise on Africa’s contrasts and opportunities and long-stand...
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Well versed in contemporary statistical techniques and practices in credit risk modelling.
Able to read, interpret and create software code, and relevant experience with modern computing languages, related to credit risk modelling (e.g. SAS, Python, or R).
Strong organisational and time management skills.
Able to work effectively in a fast-paced environment with conflicting priorities and deadlines.
Good presentation and communication skills with ability to articulate quantitative concepts to both technical and nontechnical
individual.
Qualifications
A Hons or Masters degree in a quantitative discipline such as a Quantitative Finance, Mathematics, Statistics or equivalent
At least 1 year experience within a quantitative credit risk based role.
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