Hiring: Lead Economist

Experience: 5 - 7 years

Qualification: Postgraduate degree in Economics with Statistics, or an equivalent qualification

Role Type: Individual Contributor

Role Overview:

We are looking for an experienced Economist to conduct macroeconomic research, economic forecasting, and data-driven analysis to support strategic business decisions. The role involves analysing economic trends, government and regulatory policies, and their impact on business growth and industry performance.

Key Responsibilities:

- Provide macroeconomic insights and analytical inputs to senior management to support strategic decision-making.

- Analyse government policies, regulatory developments, and macroeconomic trends to assess their impact on business performance.

- Develop economic forecasting models for macroeconomic variables and key business parameters.

- Build empirical frameworks to understand changes in demand, business patterns, and economic growth.

- Conduct primary and secondary research to test hypotheses and develop analytical frameworks.

- Identify external factors that may influence business performance and develop early-warning indicators for potential risks and growth opportunities.

- Prepare research reports, presentations, and data-driven insights for senior leadership.

- Apply statistical models and interpret economic variables to support business strategy.

- Explore non-traditional data sources to improve research quality and analytical outcomes.

- Lead economic research discussions and knowledge-sharing initiatives across business functions.

Required Skills and Qualifications:

- Postgraduate degree in Economics with Statistics, or an equivalent qualification with a strong foundation in econometrics, statistics, mathematics, or engineering.

- 5 - 7 years of relevant experience in economic research, macroeconomic analysis, or economic forecasting.

- Strong analytical skills and experience in data manipulation and interpretation.

- Knowledge of microeconomics, statistical forecasting models, and classical statistical techniques, including regression and logistic regression.

- Excellent working knowledge of MS Excel and PowerPoint.

- Familiarity with SAS, SQL, R, or Python would be an advantage.

- Strong written and verbal communication skills.

- Ability to work independently, manage research projects, and deliver within timelines.