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PricewaterhouseCoopers (PwC) helps organisations and individuals create the value they’re looking for. We’re a network of firms in 157 countries with more than 184,000 people who are committed to delivering quality in assurance, tax and advisory services. Find out more by visiting us at www.pwc.com. In Africa we're the largest provider of prof...
The Team
A career within our Financial Risk and Regulatory team (FSRR) team will provide you with the opportunity to help business leaders embed forward looking and dynamic risk management capabilities into their corporate business practices. From strategy through to implementation, we help put in place people, processes and technology our clients can leverage to identify new opportunities and pursue success as smoothly, systematically and sustainably as possible, in the face of changing markets, technologies and competition.
We work with a broad range of financial institutions and corporate organisations to develop robust financial risk management frameworks that satisfy compliance demands, contribute to better decision making and enhance performance.
The scope of our work covers the full spectrum of financial risks such as credit risk, market risk, operational risk and liquidity risk; economic capital & capital management, stress testing, risk modeling and validation; regulatory compliance issues; and emerging risk areas
We have current emphasis on leveraging analytics and technology solutions in risk management.
Job Profile
Responsibilities
Specifically, the successful candidate’s job functions shall include:
Experience & Qualifications
· Minimum of 4 - 5 years relevant experience.
· Practical experience and working knowledge in three or more of the following: risk governance and analytics, market risk management, credit risk management, treasury and liquidity risk management & ILAAP , operational risk management; capital management and ICAAP, ideally in a professional service environment or financial institution.
· Strong experience in the model development tasks, including data cleaning, credit risk modelling (e.g. PD/LGD/EAD estimation), risk parameters application, A-IRB, economic capital, RAPM, IFRS-9 models and stress testing Models, big data AI modelling and application is a plus.
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