Masterworks

Position Title/Short Description

Full Text of JOE Listing:

Role Type: Project-Based / Contract / Remote

Overview:
We are engineering a Daily Art Market Index to provide real-time transparency into fine art valuations. We are seeking an Econometrician or PhD Candidate specialized in time-series analysis and index construction for heterogeneous assets. You will lead the development of a robust framework that reconciles Repeat-Sales Regression with Hedonic Pricing Models, specifically addressing the unique challenges of selection bias and liquidity constraints in thin markets.

Responsibilities:
- Methodological Refinement: Evaluate and improve our existing Repeat-Sales Regression (RSR) and Hedonic Price Index (HPI) frameworks.
- Daily Interpolation: Develop strategies to convert auction data into a credible daily signal using "nowcasting" techniques or proxy variables.
- Validation: Conduct backtesting and stress-testing of the index against historical market shocks.

Qualifications:
- PhD student (ABD) or PhD in Economics, Finance, or Statistics.
- Deep expertise in time-series analysis, panel data, and ideally, stochastic modeling.
- Expert-level capability in R, Python (Pandas/Statsmodels), or Stata.
- Understanding of "Unobservable Components Models" or "Kalman Filters" a significant plus.

Preferred Attributes:
- Interest in Alternative Assets or the economics of prestige goods.
- Can translate complex LaTeX-heavy proofs into actionable logic.
- Experience with "Thin Market" or "Illiquid Asset" modeling.