(1854) Associate Economist

To be considered for this position, candidates must be in possession of:a Master’s degree in Economics or an equivalent postgraduate qualification (a PhD would be an added advantage); andtwo to three years’ work experience in a policy or financial institution or similar environment.  Additional requirements include:prior experience in central banking, finance or policy research;model development and forecasting skills; experience in model development, big data, AI and econometrics;programming skills with proficiency in open-source software such as Python and ‘R’, with exposure to EViews and other modeling software;skills in the use of AI for improved productivity and output delivery;economic policy research and analytical skills; innovation and problem-solving skills;ability to pay attention to detail;industry, business and organisational knowledge and skill;continuous improvement knowledge and skill;economic markets reporting knowledge and skill;a drive for results;strategic thinking skills;managing complexity and ambiguity;planning and organising skills;developing and growing others;good judgement and decision-making skills;resilience; excellent verbal and written communication skills in English; building and maintaining relationships; andthe ability to work well in teams.  

The successful candidates will be responsible for the following key performance areas:Develop, enhance and implement economic models for macroeconomic forecasting and policy simulations in line with best practice. This includes using artificial intelligence (AI) methods such as machine learning, natural language processing and big data automation to improve efficiency.Process new and large datasets, including text, images and high-frequency data. Contribute to data and model pipelines through data processing and system development. Present the results of economic modelling, forecasting exercises and policy simulations as well as complex economic phenomena affecting monetary policy.Conduct econometric analyses using large and complex datasets to support economic policy decisions.Collaborate with cross-functional teams to develop data-driven insights and predictive models.Stay up to date with advancements in AI, data science and econometric techniques, applying them to the SARB policies and initiatives.Communicate findings through reports, research papers and presentations to policymakers and stakeholders. Contribute to the compilation of the Monetary Policy Review.

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