This hire will be tasked with building and enhancing predictive models for rent forecasting and other analytics embedded in their unique, stand-alone product used by large brokerage firms, banks, asset managers, investors, and Fortune 500 companies. Ideally targeting a specialist in commercial real estate to guide and mentor the team, leverage diverse data sources, and elevate their predictive analytics capabilities to new heights.
Responsibilities:
- Ensuring analytical products deliver business value add
- Drive market improvements in model accuracy & performance
- Build analytic models that drive value for customers and address real world usage
- Improve current models and launch new products
- Build/mentor a team and ensure smooth delivery of analytic products
Qualifications:
- Willingness to relocate to Richmond, VA - non negotiable
- 15+ years of experience performing econometric based forecasting and quantitative analysis OR 10+ years of experience with a PhD in Data Science, Statistics, or another quantitative field
- CRE domain expertise, including modeling rents and various data sources to apply to models
- Past experience leading a team
- 4+ years of experience building models, analyzing commercial real estate trends and data
