Revenue Forecast Economist/Modeler

Location: Singapore
Employment Type: Full-Time

Organisation: EDHECinfra and Private Assets

Role Overview

We are seeking a skilled and motivated Economist/Modeler to join our data team. The successful candidate will play a critical role in developing and implementing systematic models to forecast revenue based on economic variables. This position requires a strong foundation in econometrics, statistical analysis, and advanced programming skills in R and Python. The ideal candidate should be passionate about data-driven decision-making and have the ability to translate complex economic theories into practical insights.

Key Responsibilities

• Assist with the design and building of econometric models to forecast revenue using economic and business variables.
• Implement and validate models to ensure accuracy, robustness, and reliability.
• Analyze large datasets to identify trends, correlations, and key economic indicators affecting revenue.
• Extract, clean, and preprocess data from diverse sources for use in predictive modeling.
• Conduct research on macroeconomic and microeconomic factors impacting revenue streams.
• Stay updated on economic trends, policy changes, and market developments to incorporate into models.
• Communicate findings, insights, and recommendations effectively to technical and non-technical stakeholders.
• Utilise programming languages (R, Python) and data visualization tools to develop and present insights.
• Leverage advanced statistical software and techniques to enhance modeling capabilities.

Qualifications & Skills

Essential:

• Education: Bachelors or Masters degree in Economics, Econometrics or a related field.
• Technical Skills:
  • Strong proficiency in R and Python for data analysis and modeling.
  • Expertise in econometric techniques such as time-series analysis, regression modeling, and panel data analysis.
  • Experience working with large datasets and database management tools.
• Analytical Skills: Advanced understanding of economic theory and its application to real-world problems.
• Strong problem-solving skills with attention to detail.

Desirable:

• Experience in revenue forecasting or financial modeling.
• Knowledge of machine learning techniques and their integration with econometric models.
• Understanding of SQL or other database query languages.

Application Process: Interested candidates are invited to submit their CV and cover letter.