4 дня назад
Quantitative Researcher (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Researcher (AI): Building pricing, hedging, options, and futures models for an AI cloud GPU marketplace with an accent on dynamic rates, compute risk transfer, and physical or contracted asset portfolios. Focus on designing financial products from first principles, constructing curves and volatility assumptions in an emerging market, and translating quantitative output into decisions.
Location: San Francisco, CA, United States
Company
Labs is building an open-access AI cloud with a GPU marketplace and AI inference service that makes computing power more affordable and accessible.
What you will do
- Build pricing models for dynamic spot and term rates across GPU types and regions.
- Hedge the compute portfolio using conventional derivatives and non-traditional instruments.
- Design options and futures structures that enable customers and suppliers to transfer compute risk.
- Analyze market direction, tradability, and opportunities for new financial products.
- Define methodologies for an emerging asset class without an established market structure or playbook.
Requirements
- 5+ years of experience in quantitative research, trading, or structuring.
- Hands-on experience building pricing or risk models used in live trading.
- Deep knowledge of derivatives pricing and hedging, including options, futures, and forwards.
- Experience hedging physical or contracted asset portfolios and pricing from supply, demand, and inventory signals.
- Strong Python programming skills and experience working with messy production data.
- Ability to communicate model assumptions and conclusions to finance, engineering, and commercial stakeholders.
Nice to have
- Experience in commodities, power, or energy markets.
- Background in market making, systematic trading, or structuring at a hedge fund, proprietary trading firm, bank, or exchange.
- Experience with nascent or illiquid markets and curve construction.
- Familiarity with GPU compute, AI infrastructure economics, or data center cost structures.
- Experience with crypto or markets based on compute, hashrate, or energy.
Culture & Benefits
- Work on the financial layer of an open-access AI cloud and GPU marketplace.
- Operate in an early, ambiguous market where methodology and product structures are being defined from first principles.
- Inclusive environment committed to diversity and equal opportunity.
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