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About the Role
As a Markets Engineer, you will be responsible for the research, analysis, and data science behind Ornn Data and our markets business. This is a hands-on technical role where you will write production code, build datasets and models, and create indices, forward curves, research, and analysis for customers, traders, and the internal team. You will collaborate with engineering, the index team, and sales, and may track new GPU clusters, analyze price movements, add new data sources, or build analytics products.
Responsibilities
- Build and maintain datasets on providers, data center capacity, hardware, offers, and executed transactions, including scrapers and integrations for new sources.
- Develop the models behind Ornn's forward curves, payback periods, total cost of ownership, and residual value analysis.
- Ship analysis as code: write, test, and review changes in Ornn's data repositories.
- Track the market and competitive landscape, including other indices, exchanges, and new supply announcements, and flag what matters to the team quickly.
- Help design and sanity-check index methodology, from which transactions count to how outliers and new chip types are handled.
- Turn findings into clear charts, notes, and research that the markets, sales, and comms teams can use with customers and in public.
- Own projects end to end, from the first question through data collection, modeling, and publication.
Requirements
- Strong Python and SQL skills, and comfort working in a shared codebase with version control and code review.
- Experience in data analysis, data science, quantitative research, or a similar role where analysis informed real decisions.
- Solid statistics, and the judgment to tell when data is noisy, biased, or incomplete.
- Ability to take a vague market question and turn it into a clear, defensible answer.
- Clear written communication, including explaining technical findings to non-technical teammates and customers.
- Curiosity about how markets work and a real interest in AI infrastructure.
- Ability to operate independently in a lean, fast-moving team.
- Experience in quantitative trading, market making, commodities, energy, or financial data (Nice-to-Have).
- Experience building scrapers or data pipelines, or working with messy and inconsistent sources (Nice-to-Have).
- Knowledge of GPUs, cloud or neocloud markets, data centers, or power (Nice-to-Have).
Skills
- Python
- SQL
- Data analysis
- Data science
- Quantitative research
- Statistics
- Written communication
- Quantitative trading
- Market making
- Commodities
- Energy
- Financial data
- Scrapers
- Data pipelines
- GPUs
- Cloud markets
- Neocloud markets
- Data centers
- Power
Location
- New York
Work Type
- Full-time
Experience Level
- Mid-level
Benefits
- Competitive salary
- Meaningful equity
- Health coverage
- Free meals
- Additional benefits
About the Company
- Ornn is building the financial infrastructure for AI compute.
- Our price indices are live on Bloomberg Terminal.
- We structure and trade compute hedging instruments.
- We're building products that make compute capacity easier to price, finance, reserve, and trade.
- We're a lean team in New York, backed by leading venture and strategic investors.
Equal Opportunity
- Ornn is committed to building a diverse team.
- We evaluate candidates based on their ability to do the work, not on pedigree or background.
- We encourage applications from people of all backgrounds and experiences.