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Data Engineer / Quantitative Researcher - GPU Market Data

talentsearch • United States
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Build datasets, pipelines, and models for GPU compute pricing and market research. Develop scrapers, integrations, and pricing models for a FinTech portfolio company. Requires 4+ years in data engineering, data science, or quantitative research with strong Python and SQL.

Key Highlights
Hands-on data role combining production Python and SQL, data modeling, and market research
Build datasets, pipelines, and models for GPU compute pricing and market research
4+ years of relevant experience in data engineering, data science, or quantitative research
NYC, SoHo · On-site
$140K–$200K base + equity
Key Responsibilities
Build and maintain datasets on GPU providers, datacenter capacity, hardware, pricing offers, and executed transactions.
Develop scrapers, integrations, and pipelines to collect data from fragmented sources.
Model forward pricing curves, payback periods, total cost of ownership, and residual hardware values.
Develop and validate the methodology behind GPU compute pricing indices.
Technical Skills Required
Python SQL Statistics
Benefits & Perks
Equity
Relocation assistance
Nice to Have
Quant trading or market data
Commodities or energy pricing
Web scraping and ETL
GPU or cloud infrastructure economics
Index methodology experience

Job Description

Talentsearch is a platform that connects engineers with job opportunities. Syelo Ventures is using our platform to hire for a technology company in its portfolio.

About the employer

FinTech portfolio company: the portco is building financial and market infrastructure for AI compute. Its GPU compute price indices are already live on Bloomberg Terminal.

You'll build the datasets, pipelines, and models behind its research and pricing products, covering pricing, supply, capacity, transactions, and hardware economics in the GPU market. You'll own projects end to end, from the market question through publication.

About the role

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