Quantitative Researcher: AI Compute Market Pricing

Hyperbolic Labs; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Hyperbolic Labs in San Francisco seeks a Quantitative Researcher to own the modeling behind its Open-Access AI Cloud pricing. You will build pricing models that set spot and term rates across GPU types and regions, hedge our compute portfolio with derivatives and non-standard instruments, and design options/futures structures for risk transfer.

You will define the methodology in an early, unmapped market and translate outputs for finance, engineering, and business stakeholders, guiding product

Qualifications

• 5+ years in quantitative research, trading, or structuring, with hands-on experience building pricing or risk models that were actually traded on, not just backtested.
• Deep fluency in derivatives pricing and hedging - options, futures, forwards - and the ability to reason about instruments where no liquid market or clean volatility surface exists
• Experience constructing hedges for a portfolio of physical or contracted assets, using both conventional derivatives and non-standard instruments
• Dynamic pricing expertise: building models that set spot and term prices from supply, demand, and inventory signals in near real time
• Strong programming skills in Python and comfort working directly with messy production data rather than a curated research dataset
• Ability to structure new financial products from first principles, including contract design, settlement mechanics, and the assumptions underneath them
• Clear communicator who can defend a model to finance, engineering, and commercial stakeholders and translate output into a decision
• Comfortable operating with ambiguity, incomplete data, and no established playbook for the asset class

Responsibilities

• Own pricing models for GPU compute across spot and term rates.
• Hedge compute portfolio using conventional derivatives and non-standard instruments.
• Design option and futures structures that let customers and suppliers transfer compute risk.
• Define methodology for pricing in an early, unmapped market and communicate insights to stakeholders.

Skills

Quantitative research

Derivatives pricing

Hedging strategies

Python programming

Real-time pricing

Model validation

Communication with stakeholders

Ambiguity tolerance

Job description

Hyperbolic Labs in San Francisco seeks a Quantitative Researcher to own the modeling behind its Open-Access AI Cloud pricing. You will build pricing models that set spot and term rates across GPU types and regions, hedge our compute portfolio with derivatives and non-standard instruments, and design options/futures structures for risk transfer.

You will define the methodology in an early, unmapped market and translate outputs for finance, engineering, and business stakeholders, guiding product