Hyperbolic
AI & Machine LearningDirect Ashby career site

Quantitative Researcher

Location
San Francisco, CA
Job type
Full-time
Level
Senior
Experience
5+ years
Listed
23 days ago

Skills & highlights for this role

  • derivatives pricing
  • options and futures hedging
  • Python
  • dynamic pricing models
  • portfolio hedging

Also useful

  • commodities or energy markets
  • market making
  • GPU compute economics

About the Role

Compute is becoming a traded asset, and almost none of the market structure exists yet. There is no settled forward curve, no standard contract, no consensus on how to price optionality on a GPU-hour. We're building the financial layer of our marketplace, and we're looking for a Quantitative Researcher to own the modeling behind it.

You'll build the pricing models that set spot and term rates dynamically across GPU types and regions, hedge our compute portfolio using both conventional derivatives and non-traditional instruments, and design the options and futures structures that let customers and suppliers transfer compute risk. You'll also be our read on the market - where pricing is heading, what's tradable, and what we should be building next. This is early, unmapped work: you'll be defining the methodology rather than applying an existing one.

Who You Are

  • 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

Preferred Qualifications

  • Experience in commodities, power, or energy markets - the closest existing analogue to compute, with similar delivery, storage, and locational constraints
  • Background in market making, systematic trading, or structuring at a hedge fund, prop shop, bank, or exchange
  • Exposure to nascent or illiquid markets where you had to build the curve rather than consume it
  • Familiarity with GPU compute, AI infrastructure economics, or data center cost structures
  • Experience with crypto or other markets where compute, hashrate, or energy was the underlying
  • Advanced degree in a quantitative field, or equivalent demonstrated depth

Who We Are

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all.

As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.

Read the original posting

From Hyperbolic's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Quantitative Researcher role at Hyperbolic, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

Where is the Quantitative Researcher job at Hyperbolic located?

This Quantitative Researcher position at Hyperbolic is located in San Francisco, CA. Always check Hyperbolic's application page for specific state eligibility or relocation policies.

What qualifications are required for Quantitative Researcher at Hyperbolic?

For the Quantitative Researcher role, Hyperbolic highlights 5+ years of relevant experience; experience with derivatives pricing, options and futures hedging, Python, dynamic pricing models, portfolio hedging. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Quantitative Researcher position at Hyperbolic?

This listing links directly to Hyperbolic's Ashby application page. You can apply directly on Hyperbolic's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.