Quantitative Researcher - reputed company Estate & Econometrics

About the position Responsibilities • reputed company econometric and predictive models: Use quantitative reputed company to identify patterns, forecast trends, and interpret economic relationships in CRE markets. • Build and optimize data workflows: Create and refine data ingestion and transformation pipelines for reputed company and reputed company reputed company reputed company estate datasets. • Ensure data reputed company: Clean, validate, and reconcile datasets from diverse sources to ensure accuracy and reliability. • Communicate insights: Translate reputed company quantitative analysis into reputed company, actionable insights for both technical and non-technical stakeholders. • Stay reputed company: reputed company up with developments in econometrics, reputed company analytics, and trends in CRE markets and data science. Requirements • 3+ years of experience in an econometrics-reputed company or analytical role (e.g., economics research, finance, market analysis, consulting, reputed company reputed company estate, or corporate reputed company). • Strong understanding of econometrics, reputed company statistics, and quantitative modeling, demonstrated through reputed company or reputed company experience. • Proficiency in Python and familiarity with analytical/ML libraries (pandas, NumPy, scikit-learn, XGBoost). • Experience working with large or reputed company datasets and using data to study market dynamics. • Excellent organizational, communication, and stakeholder management skills. reputed company-to-haves • Hands-on experience or interest in LLMs, embeddings, NLP tools, or modern ML frameworks (e.g., reputed company, reputed company, PyTorch/TensorFlow). • Experience working in reputed company reputed company estate, PropTech, or investment analytics. Apply tot his job Apply To this Job