• Have a strong background in data science, statistics, finance and economics. • Practical experience includes data analysis, modelling, management reporting and some project work. Has a sound understanding of statistical theory, programming and modelling, financial risk management, microeconomics, investment analysis, and project evaluation.• Well-versed using various IT applications, operating platforms, statistical software, and programming tools, including R, SAS, Python, SQL, Visual Basic, Eviews and C++.• Well-developed interpersonal skills, with the ability to establish strong working relationships and networks with people of all levels and backgrounds.