Remote Quantitative Macro Economist & Data Scientist

Sacbar; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

MacroPolicy Perspectives (MPP), a research firm delivering data-driven US macro analysis, seeks a Quantitative Economist / Data Scientist to strengthen empirical research, modeling, and analytics infrastructure. You will upgrade forecasting systems, build statistical models, and produce insights for clients in finance and beyond.

The ideal candidate combines rigorous empirical thinking with real-world data work, enjoys solving problems, and thrives in a remote environment.

Qualifications

• Degree in economics, data science, statistics, applied mathematics, or related quantitative field.
• Several years of experience in empirical macroeconomic analysis or data-intensive roles in economics or finance.
• Strong programming skills in Python, R, or Stata.
• Advanced Excel skills; familiarity with version control (Git) and reproducible workflows a plus.
• Excellent written and verbal communication for a sophisticated investor audience.

Responsibilities

• Contribute to forecasts based on model-driven insights and data analysis across macro sectors.
• Develop and maintain forecasting models (time-series, factor, nowcasting) and data pipelines.
• Build reproducible analysis workflows using Python, R, and Stata; explore AI integration.
• Produce data-driven notes, charts, dashboards, and written analyses for clients.
• Monitor macro data, policy developments, and global markets; update models accordingly.

Skills

Python

R

Stata

Excel

Git

Communication

Education

Bachelor's or higher in Economics, Data Science, Statistics, Applied Math, or related quantitative field

Tools

Git

Job description

MacroPolicy Perspectives (MPP), a research firm delivering data-driven US macro analysis, seeks a Quantitative Economist / Data Scientist to strengthen empirical research, modeling, and analytics infrastructure. You will upgrade forecasting systems, build statistical models, and produce insights for clients in finance and beyond.

The ideal candidate combines rigorous empirical thinking with real-world data work, enjoys solving problems, and thrives in a remote environment.