Learning and Development: Gain hands-on experience in developing asset allocation tools and strategies alongside seasoned professionals.
Collaborative Projects: Work closely with the multi-asset team to enhance existing systems and contribute to the development of new predictive models and algorithms.
Research and Analysis: Dive into the world of econometrics and statistical techniques to shape tactical asset allocation and improve portfolio construction processes.
Innovative Thinking: Bring fresh perspectives and ideas to the table as you explore risk management strategies and analyze capital markets data.
Proficiency in Python and R is essential, with experience in managing and analysing large datasets, ideally with SQL.
If you're passionate about quantitative finance, thrive in a collaborative environment, and are eager to make a difference in the world of asset management, we want to hear from you!
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