Remote Digital-Asset Quant Trader in SF (Equity+Bonus)

Anemoi Predictive Technology LLC

San Francisco, Northern (CA, KY)

Hybrid

USD 185,000 - 280,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, and vision
401(k) matching
Flexible PTO & holidays
Parental & caregiver leave
Learning budget
Remote-work equipment & home-office
Bonus & equity eligibility

Job summary

Anemoi Predictive Technology LLC in San Francisco, CA seeks a fully remote Digital-Asset Quantitative Trader to cover Pacific Time markets, ensuring continuous-market exposure and disciplined venue risk management. The role targets candidates based in the SF Bay Area and offers performance bonuses and equity eligibility.

Responsibilities include monitoring liquidity and funding, evaluating centralized venues, and developing weekend/overnight operating controls, with a strong emphasis on

Qualifications

  • Five+ years in quantitative trading including digital assets.
  • Experience with continuous markets, exchange APIs, and venue risk.
  • Strong Python, statistics, and operational discipline.

Responsibilities

  • Monitor positions, liquidity, venue exposure, and funding.
  • Evaluate execution across centralized venues.
  • Design weekend and overnight operating controls.
  • Research market structure while respecting legal and counterparty limits.
  • Own continuous-market exposure, fragmented liquidity, venue risk, and shift handoffs during Pacific Time coverage.

Skills

Python
Statistics
Operational discipline
Quantitative trading

Job description

Anemoi Predictive Technology LLC in San Francisco, CA seeks a fully remote Digital-Asset Quantitative Trader to cover Pacific Time markets, ensuring continuous-market exposure and disciplined venue risk management. The role targets candidates based in the SF Bay Area and offers performance bonuses and equity eligibility.

Responsibilities include monitoring liquidity and funding, evaluating centralized venues, and developing weekend/overnight operating controls, with a strong emphasis on

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