Macro-Socioeconomic Researcher

At Perceptive Companies, we decode the hidden forces shaping economies, industries, and cities. Through advanced pattern recognition, forensic macroeconomic intelligence, and predictive modeling, we uncover the unseen relationships that drive real estate cycles and investment performance.

Our Macro-Socioeconomic Pattern Identification team sits at the intersection of economic intelligence, data science, and strategic forecasting, applying hedge-fund-style analytics to real estate, infrastructure, and capital markets.

We are seeking a Macro-Socioeconomic Researcher who thrives on identifying cycles, causality, and disruptive forces in global markets. This role requires quantitative rigor, historical economic insight, and a deep understanding of multi-variable relationships across social, economic, trade, and political domains.

Who You Are

  • A pattern hunter—you see the signals hidden within economic and financial data before others recognize the trend.

  • A systems thinker—you can deconstruct how demographics, policy shifts, capital flows, and industry disruptions interplay.

  • A quantitative strategist—you apply clustering, regression analysis, machine learning, and statistical modeling to test hypotheses.

  • A macroeconomic forensic analyst—you study historical cycles and events to map future probabilities.

  • A coder—you know Python, R, SQL, or similar tools to scrape, clean, and model data at scale.

  • A data storyteller—you translate complex macro and socio-economic intelligence into actionable insights for investment and development.

What You'll Do

  • Identify macroeconomic and social patterns that influence real estate cycles, infrastructure needs, and investment risks.

  • Build multi-factor economic models and Monte Carlo simulations to quantify risks and forecast investment environments.

  • Conduct forensic economic research, analyzing historical cycles to predict cause-and-effect relationships in today’s market.

  • Scrape and analyze alternative datasets—social sentiment, global trade, migration, supply chain dynamics, etc.

  • Assess policy, demographic shifts, and geopolitical influences on asset performance and capital flows.

  • Collaborate with geospatial analysts, investment strategists, and data engineers to integrate findings into broader market intelligence.

  • Present insights in a highly visual, data-driven narrative format, making complex intelligence actionable.

Ideal Candidate Profile

  • Master’s or Ph.D. in Economics, Data Science, Quantitative Finance, or a related field.

  • Experience in quantitative investment research, macroeconomic forecasting, hedge fund analytics, or strategic risk assessment.

  • Deep knowledge of historical economic cycles, trade patterns, and financial contagion.

  • Strong proficiency in Python, R, SQL, Monte Carlo modeling, and predictive analytics.

  • Familiarity with global data sources like FRED, IMF, BIS, WTO, CoStar, Placer.ai, L2 Data, and alternative datasets.

  • Ability to work in a high-autonomy, research-intensive environment, where unconventional thinking is valued

Why Join Perceptive Companies?

  • Be part of a team that is redefining the future of macroeconomic intelligence in real estate and investment.

  • Work on real-world, high-impact economic puzzles with access to massive datasets and cutting-edge modeling techniques.

  • Operate in an entrepreneurial, innovation-driven role, where your insights directly shape investment strategies.

  • Collaborate with experts across data science, urban strategy, and financial intelligence.

Our work is for those who see beyond the obvious, who understand that the past doesn’t repeat—but patterns emerge for those who look closely enough