Los Angeles, CA2 days ago
Develop predictive financial models using econometrics and machine learning to forecast rent growth, occupancy, and asset performance across student housing and multifamily portfolios; Conduct quantitative risk analysis to evaluate market volatility, interest rate exposure, and liquidity constraints, informing capital allocation and hedging strategies; Analyze demographic, enrollment, and migration trends to assess long-term housing demand and guide site selection and development timing; Evaluate policy and regulatory impacts, including zoning, tax incentives, and rent control, on investment feasibility and asset valuation; Integrate macroeconomic indicators into dynamic forecasting tools that support acquisition timing, portfolio rebalancing, and strategic planning; Integrate macroeconomic indicators into dynamic forecasting tools that support acquisition timing, portfolio rebalancing, and strategic planning; and. Candidate must have at least a Master’s degree in Economics, Finance, or Financial Engineering, with 12 months of Investment Analyst or Economist experience working in the real estate industry.