Quantitative Researcher

Hyperbolic is an open-access AI cloud providing on-demand GPU infrastructure, reserved and private cloud capacity, managed inference, and AI compute services.

San Francisco, California, United States
About Hyperbolic

Hyperbolic operates an AI cloud platform for training, fine-tuning, and serving AI models at scale. It provides self-serve GPU instances and clusters, reserved capacity, private cloud infrastructure, OpenAI-compatible inference APIs, dedicated model hosting, and related infrastructure services for developers, researchers, startups, and enterprises.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build dynamic spot and term pricing models across GPU types and regions. You will hedge compute portfolios, design options and futures structures, develop financial-product contracts and settlement mechanics, analyze market conditions, and translate model output into commercial and technical decisions.

Requirements

  • 5+ years of quantitative research, trading, or structuring experience
  • Experience building pricing or risk models used for trading
  • Fluency in derivatives pricing and hedging, including options, futures, and forwards
  • Experience constructing hedges for physical or contracted asset portfolios
  • Dynamic pricing expertise using supply, demand, and inventory signals
  • Strong Python programming skills
  • Ability to work with messy production data
  • Experience designing financial products, contracts, and settlement mechanics

Responsibilities

  • Build dynamic spot and term pricing models across GPU types and regions
  • Hedge compute portfolios using conventional derivatives and non-traditional instruments
  • Design options and futures structures for compute risk transfer
  • Analyze market pricing, tradability, and product opportunities
  • Structure financial products, including contract design and settlement mechanics
  • Translate model output into decisions for finance, engineering, and commercial stakeholders