VP, Quantitative Research (Art Market)

Masterworks•New York, NY

1d•Onsite

About The Position

Masterworks is seeking a VP of Quantitative Research to lead the development and prediction of trends in the overall art market, including index construction, predictive analytics, and Machine Learning. The research team consists of Data Infrastructure & Reporting, responsible for data pipelines, database architecture, and analytical reporting; Data Quality & Operations, which owns the integrity of the underlying auction dataset; and Quantitative Modeling & ML, which focuses on index construction, artist ranking models, momentum and acceleration signals, and predictive feature development, directly feeding into IC recommendations.

Requirements

10+ years in quantitative research, data science, or financial economics - ideally with exposure to alternative assets, structured products, or index construction
Proficiency in Python and / or R; comfort with SQL and large transactional datasets
Deep intellectual curiosity about what drives returns in illiquid, infrequently-traded asset markets
Must be able to work in the NYC office 5 days per week
Must be eligible to work in the US

Nice To Haves

Hands-on experience with repeat-sales regression, hedonic pricing, or similar asset valuation methodologies strongly preferred

Responsibilities

Help evolve the Masterworks Contemporary Art Index methodology - including repeat-sales regression, hedonic pricing, and return-bounds filtering - in a form suitable for CFTC review and third-party licensing
Lead development of artist-level predictive models, including ML feature engineering, F1-score optimization, and momentum/acceleration signal identification
Help translate quantitative research into actionable acquisition recommendations alongside the Art Acquisitions team