Erik Thomas

ERIK THOMAS

Education

Chartered Financial Analyst June 2018
Moore School of Business, University of South Carolina — Columbia, SC USA
Bachelor of Science, Business Administration May 2014
Majors: Finance, Economics
Honors: Cum Laude, SC Honors College

Experience

Hines Interests — Proprietary Research
Senior Director (Quant Lead) — Boston, MA December 2023–Present
Director (Quant Lead) — Los Angeles, CA / Boston, MA December 2018–December 2023
Associate — Boston, MA / Los Angeles, CA July 2016–December 2018
Analyst — Boston, MA June 2015–July 2016
  • Developed and maintained proprietary rent and price forecasting models, covering over 700 markets globally, and over 6000 submarkets. Forecasting models developed on an ex-ante basis.
  • Integrated SQL data warehouse framework for research data, creating Power BI reports for accessing market forecasts.
  • Studied the impact of demographics and GIS data on real estate returns at the zip code level. Using advanced SQL queries and matrix regression, created property multivariate regression of NCREIF data.
  • Automated querying NCREIF through Excel (VBA), R, and Python.
  • Analyzed the impact of drive time reach on industrial real estate around the world, combining GIS demographic data and street network data from multiple data providers. Created heatmaps of drive time reach across Europe, United States, and Australia.
  • Studied the impact of school quality ratings on multi-family real estate rent growth, vacancy and demand growth.
  • Determined drivers of out-performance of Senior Housing real estate, at the market and property level.
  • Worked extensively with data from many real estate data providers, including NCREIF, Costar, CBRE EA/ERIX, JLL, PMA. Also worked with data from economic data providers such as ESRI, Oxford Economics, CEIC, and Moody's Economy.
  • Automated data processing, forecasting, and reporting in R, Python, and VBA.
  • Built Machine-Learning models of submarket level data combining demographics and real estate data to score long-term growth potential of submarkets in each property sector.
  • Created risk scoring framework, measuring a variety of risk factors facing a specific real estate market, and scoring that risk relative to other markets and that market's own history.
  • Presented research to Senior Management, local investment teams, and third-party partners.
  • Managed Research quantitative team analysts and associates.
Hines Interests — Hines Capital Management
Associate July 2016–December 2017
Created and maintained a Public REIT focused hedge fund.
  • Developed a sector-level tactical allocation model using internal research metrics.
  • Conducted research on individual REITs, developing relative valuations.
  • Created daily dashboard monitoring portfolio.
  • Analyzed and conducted return attribution analysis.
Dessange Group — NA
Real Estate Analyst June 2014–June 2015
Managed the real estate department for large franchisor organization, developed data-driven site selection process.
  • Built Excel dashboards to standardize weekly, monthly and quarterly reporting.
  • Analyzed large data sets using SQL, Excel and R statistics software.
  • Utilized GIS systems to analyze spatial data and develop high quality graphics.

Organizations

Pension Real Estate Association (PREA) Research Committee

Skills

Statistics, R, Python, Advanced SQL (including spatial analysis in SQL), Power BI, Tableau, Advanced GIS, Advanced Excel (VBA), AI, Machine Learning, ChatGPT Codex, Claude Code