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Job Profile
- Collect, clean, and process large and complex economic, financial, and policy-related datasets.
- Develop and maintain forecasting models using statistical and machine learning techniques
- Apply time series analysis, regression, and predictive modeling to assess macroeconomic trends.
- Collaborate with economists and policy teams to design quantitative research frameworks.
- Create dashboards, data pipelines, and visualizations to communicate insights clearly.
- Support the preparation of technical papers, policy notes, and presentations through robust data-driven analysis.
- Stay updated with emerging tools, techniques, and best practices in data science and econometrics.
Applicant Profile
- Bachelor’s degree (Hons) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- At least 1 year of hands-on experience in data science, quantitative analysis, or research.
- Proficiency in Python or R, including libraries such as pandas, NumPy, scikit-learn, statsmodels, TensorFlow/PyTorch, or ggplot2, is a must.
- Strong knowledge of statistical modeling, time series forecasting, and machine learning algorithms.
- Understanding of macroeconomic indicators, financial markets, or policy-related datasets.
- Experience working with large or complex databases and statistical software environments (R Studio, VS Code, Spyder, etc.).
- Ability to communicate complex results clearly through reports, visualizations, and presentations.
- Strong problem-solving skills, intellectual curiosity, and a collaborative mindset.
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