Remote Digital-Asset Quant Trader (Tucson)

Anemoi Predictive Technology LLC

Tucson, Northern (AZ, KY)

Hybrid

USD 185,000 - 280,000

Full time

14 days+
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Job summary

Anemoi Predictive Technology LLC is seeking a fully remote Digital-Asset Quantitative Trader based in the Tucson, AZ area to provide year-round Mountain Standard Time coverage and continuous-market operations. You will coordinate research, engineering, trading, and risk with a transparent view of uncertainties and tradeoffs.

The role emphasizes continuous-market exposure, venue and counterparty risk, funding, and weekend controls across time zones, with a focus on reliability and

Qualifications

  • 5+ years in quantitative trading, including digital assets.
  • Experience with continuous markets, exchange APIs, and venue risk.
  • Strong Python, statistics, and operational discipline.
  • Preferred: custody workflows, funding markets, fragmented liquidity.
  • Preferred: weekend, overnight, and venue-failure procedures.
  • Experience across time zones coordinating the Tucson opening.

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 year-round Mountain Standard Time coverage.

Skills

Python
Statistics
Operational discipline
Continuous markets
Exchange APIs
Venue risk

Job description

Anemoi Predictive Technology LLC is seeking a fully remote Digital-Asset Quantitative Trader based in the Tucson, AZ area to provide year-round Mountain Standard Time coverage and continuous-market operations. You will coordinate research, engineering, trading, and risk with a transparent view of uncertainties and tradeoffs.

The role emphasizes continuous-market exposure, venue and counterparty risk, funding, and weekend controls across time zones, with a focus on reliability and

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