Head Of Forecasting

Cushman & Wakefield

Base: $191,250.00 - $225,000.00; bonus/equity: not...
Not specified
Time-series analysis and forecasting
Econometric and machine learning modeling
Python programming proficiency
Cushman & Wakefield is seeking a Head of Forecasting to lead the development of a comprehensive commercial real estate (CRE) forecasting infrastructure for the Americas. The ideal candidate will possess advanced analytical skills, a strong background in econometrics and machine learning, and experience in real estate or technology settings

Job Summary

  • The role leads the development and maintenance of a best-in-class, end-to-end CRE forecasting infrastructure for the Americas with a focus on accuracy, scalability, and automation.
  • The position involves expanding derivative forecast-adjacent analytical products and augmenting the company's analytical brand value through thought leadership and client engagement.
  • Cushman & Wakefield offers a comprehensive benefits package including health, vision, dental insurance, retirement plans, and competitive pay dependent on multiple factors.

Matching Summary

Match Score: 85

Cushman & Wakefield is seeking a Head of Forecasting to lead the development of a comprehensive commercial real estate (CRE) forecasting infrastructure for the Americas. The ideal candidate will possess advanced analytical skills, a strong background in econometrics and machine learning, and experience in real estate or technology settings.

Salary

Base: $191,250.00 - $225,000.00; Bonus/Equity: Not specified; Benefits: health, vision, dental insurance, retirement plans, paid time off

Skills & Requirements

Must-have

  • time-series analysis and forecasting
  • econometric and machine learning modeling
  • Python programming proficiency
  • forecasting infrastructure architecture
  • stakeholder management and communication
  • automation of data processes
  • CRE market expertise

Nice-to-have

  • cloud systems experience (Azure, AWS)
  • AI and advanced ML techniques
  • geospatial data concepts
  • thought leadership and brand ambassador
  • multi-stakeholder project management
  • technical documentation skills

Key Requirements

  • Ph.D or Master’s degree in related field preferred
  • 7-10 years experience in time-series forecasting
  • experience in real estate or tech settings preferred
  • expertise in econometric and ML modeling techniques
  • strong programming skills in Python
  • ability to work across organizational levels

Work Rights

Not specified

Tailored Resume

Cover Letter