•Recent completion of a bachelor’s degree in economics, computer science, statistics, mathematics, finance, data science or other related quantitative field is required. Candidates with advanced degrees in the same relevant field may be considered with limited combined professional experience.
•A cumulative GPA of at least 3.5/4.0 (or equivalent for international diplomas) in both the principal field of study and in the overall program.
•Ability to work independently under minimum supervision and be accountable for the accuracy of both data and programs.
•Proficiency in software applications such as Microsoft Office (specifically Excel and PowerPoint), econometric packages such as STATA, EViews, MATLAB and other statistical and analytical tools.
•Knowledge of programming languages like Python and R are desirable.
•Working knowledge of Tableau, familiarity with other data visualization tools, especially PowerBI, or Python/R based, or web design are desirable.
•Strong analytical and quantitative skills.
•Excellent written and verbal communication skills in English.